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U.S.-Based

Your AI implementation partner, from pilot to production

We take one workflow from a measured pilot to a production system your team uses every day.

  • $7,000

    Starting price of a pilot on one workflow

  • $13,000

    Starting price of a production rollout

  • 5.0

    Clutch rating from 40 reviews

AI agent workspace connecting training data, an AI model, agent tools and evaluations
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How an implementation runs

From one chosen workflow to a production system with a named owner: a pilot on live cases first, scored by your team.

One workflow is chosen

The one that costs the most hours each week.

A pilot runs on live cases

AI handles real work in a test lane.

Your team scores it

Reviewers approve or correct each output.

It goes to production

It runs in your systems with a named owner.

AI implementation services, in short

  • Kansas City metro software and AI company
  • AI implementation partner for mid-market companies
  • One workflow taken from a measured pilot to production in your systems of record
  • Pilots from $7,000, rollouts from $13,000, and you own all the code
AI implementation at a glance

Pilot first. Then production.

  1. 01Pilot priceFrom $7,000, one workflow on live cases
  2. 02Production rolloutFrom $13,000, once the pilot meets its targets
  3. 03Not sure where to startA $2,500 fixed, 2-week assessment, credited to your first build
  4. 04You ownCode, prompts, connectors and reports

What is AI implementation?

AI implementation takes one use case from idea to daily use: choosing the workflow, piloting it on live cases, connecting it to your systems and training the people who use it.

  • Licenses are the easy part

    The hard part is changing one workflow so AI does real work in it, with an owner and a review step. Numbers taken before and after show whether it helps.

  • Your sponsor

    Picks the workflow with us and signs off on the rollout.

  • Your process owner

    Sets the targets and reviews outputs during the pilot.

  • Your IT and security teams

    Grant access and approve permissions and logging.

  • SoftDoes

    Leads the work, builds and connects the system, and trains your teams.

  • Implementation vs a workspace rollout

    A workspace rollout gives every employee a tool such as Claude or ChatGPT, with single sign-on and data rules, from $5,000. Implementation goes deeper on one workflow inside your systems, with a measured result. The two work well together.

Types of AI implementation services

Seven engagements cover strategy, rollout, build and adoption. Model usage and hosting are billed at cost on your own accounts, and the assessment fee is credited to your first build.

AI readiness assessment

Workflows, data, systems and risks reviewed, then AI projects ranked with costs. Fits when you need to pick the first workflow.

Workspace AI rollout

Claude, ChatGPT, Copilot or Gemini with single sign-on, data rules, 2 connectors and 2 training sessions. Licenses go to the vendor. Fits when staff need a safe everyday AI tool.

Workflow automation

n8n, Make or Zapier workflows with AI steps, $6,500 for 3 workflows. Fits when work moves between apps by hand.

Pilot on one workflow

Live cases in a test lane, scored against targets set up front. Fits when you have a workflow and want proof first.

Production rollout

Permissions, an audit log, monitoring and training for daily use. Fits when the pilot met its targets.

AI training for employees

Sessions by role on your teams’ real tasks: a half day for up to 25 people, a full day for $4,000 or 6 weeks for $12,000. Fits when tools are live, but adoption is low.

Agent monitoring and cost control

Tracing, quality checks and cost alerts after launch. Fits when AI agents run in production.

Systems we implement AI in

SalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooks
ZendeskServiceNowSharePointGoogle DriveZendeskServiceNowSharePointGoogle DriveZendeskServiceNowSharePointGoogle DriveZendeskServiceNowSharePointGoogle Drive
ClaudeChatGPTGeminiAmazon BedrockClaudeChatGPTGeminiAmazon BedrockClaudeChatGPTGeminiAmazon BedrockClaudeChatGPTGeminiAmazon Bedrock
SalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooks

When to bring in an AI implementation partner

Bring in a partner when AI interest is high but nothing reaches daily use: pilots stall, tools go unused or no one owns the result. A partner turns one workflow into a measured system.

Signs that a partner will help:

  • A proof of concept worked in a demo but never reached production.
  • Teams bought AI licenses, and few people use them now.
  • Several departments run their own AI experiments, with no shared rules.
  • Leaders want results in numbers, and nobody has measured the starting point.
  • IT and security need permissions, logs and vendor documents before anything goes live.

When to wait

If you cannot yet name one workflow and its owner, start with an AI readiness assessment: $2,500 fixed, 2 weeks, credited to your first build. If the need is everyday writing and research, a workspace rollout may be enough. To start a pilot, prepare one workflow with its process owner and a sponsor who can approve the rollout, current numbers (volume per month, minutes per item and error rate), read access to the systems involved or a sample export, and a set of real cases, such as 50 past tickets or forms.

AI consulting services that end in production

  • AI strategy consulting

    We rank your workflows by hours saved, risk and data readiness, then pick the first. For example, candidate workflows are scored side by side, and invoice entry is picked first for its hours and clean data.

  • A pilot on one workflow

    Live cases in a test lane, with targets for accuracy, time and cost set up front. For example, AI drafts replies to live support tickets in a test lane, and an agent scores every draft.

  • Production rollout

    Permissions, an audit log, monitoring and a fallback for daily use in your systems. For example, the pilot moves into the help desk with role permissions, an audit log and a fallback to manual work.

  • Your AI implementation consultant

    A senior engineer leads the work and meets your process owner every week. For example, a weekly call where the engineer and your process owner review the scorecard and agree the next change.

  • AI adoption consulting

    Training by role and a short playbook per team, so people use what was built. For example, a one-page playbook for the finance team: which tasks use AI, who approves and where to report errors.

  • Results in numbers

    A before-and-after report on hours, errors and cost per task. For example, minutes per invoice and the error rate, measured before the pilot and again after the rollout.

What you get from an AI implementation

You get a system in daily use and the evidence that it works: a pilot scorecard, a production rollout with an owner, trained teams and a before-and-after report.

A pilot with targetsA ranked workflow list and the pilot scope, with targets agreed in writing. Then the pilot scorecard: accuracy, time and cost per task against those targets.
A production system you ownThe production system in your accounts, with permissions, an audit log, monitoring and a fallback. Code, prompts, connectors and reports sit in your repository, with full admin access.
Trained teamsTraining sessions by role and a short playbook per team, so people know which tasks use AI, who approves and where to report errors.
Results and the next stepAn adoption report and a recommendation for the next workflow. If the pilot misses its targets, you keep the code and the findings. After launch, maintenance and support start at $500 a month.

AI implementation ROI: a worked example

An implementation pays back when the hours saved each month cover the pilot, the rollout and the running costs. This example uses assumed numbers for an intake workflow, not a client result. At these numbers, the pilot and the rollout together pay for themselves in under three months, after maintenance and before model usage, which is billed at cost on your account. Measure the starting point before the pilot begins, or the saving cannot be shown later.

LineAssumed value
Cases handled a month1,200
Minutes saved per case10, or 200 hours a month
Loaded cost of a staff hour$40
Saving a month$8,000
Pilot on one workflowFrom $7,000, once
Production rolloutFrom $13,000, once
Maintenance, if we run itFrom $500 a month

From AI strategy consulting to daily use

01
ChooseBefore any code

We review workflows, data and risks, and pick one with a clear owner. Targets for accuracy, time and cost are agreed in writing before the pilot starts. You get a shortlist and a pilot scope.

02
PilotIn a test lane

We run the pilot on live cases in a test lane and log every output. Your reviewers approve or correct each output, and the scorecard tracks every result. You get a scorecard against targets.

03
Roll outBehind a flag

We add permissions, an audit log and monitoring, then switch it on. A pilot group gets it first, with a fallback to the manual process. You get a live system with an owner.

04
AdoptAfter release

We train each role, review usage and pick the next workflow. You get a before-and-after report on hours, errors and cost per task, in an adoption report.

AI implementations in production

Two live AI builds from our case studies, and the record behind them.

  • Startup
  • Real Estate
2026

Our Haus AI

A finance professional turned founder built Our Haus AI, an AI-powered collaborative workspace where homeowners and contractors scope, bid, contract, and document renovation projects together. SoftDoes took her prototype and made it production-ready.
Outcome
SoftDoes hardened and secured a far-more-than-MVP platform for launch, delivering on a fast, defined timeline so a solo non-technical founder could move to production and start onboarding founding users.
  • 10XMVP scope delivered
  • 2+years Ongoing partnership
  • 1Fully owned Platform
View Full Case Study
Our Haus AI case study screenshot
  • Finance
  • Energy
2026

Deepwater Insights

Deepwater Insights delivers proprietary alternative data and niche research on the offshore drilling and energy sector to institutional investors, family offices, and high-net-worth individuals who require coverage that larger firms don't provide.
Outcome
A brand-aligned editorial platform with premium content architecture gave Deepwater Insights a professional home for its research and a direct channel to investors beyond social media.
  • 100%Brand Continuity
  • 2Platform Distribution
  • 100%Paywall-Ready Content
View Full Case Study
Deepwater Insights case study screenshot
  • Real Estate
2026

The building buyer

The Building Buyer is a Florida-based real estate investment firm co-founded by Dylan Troiano and Charles Hanlin. They acquire single-family, multifamily, and commercial properties across South Florida and beyond, with a focus on motivated seller opportunities.
Outcome
SoftDoes built a proprietary lead generation and data extraction system that replaced hours of manual research each day, freeing the team to focus on deals instead of data.
  • 18Weekly hours saved
  • 2+Years Ongoing partnership
  • 1Fully owned Platform
View Full Case Study
The building buyer case study screenshot
  • Education
  • Non-Profit
2026

WOVEN & NICE

Woven is a Spring Valley, NY nonprofit running the NICE program (New Training Inclusive Community Environment) in four Rockland County schools. Their team supports students through restorative practices, mediation, and professional development for teachers and administrators.
Outcome
A full website rebuild gave Woven a cleaner, more navigable donation experience and a stronger digital presence to support their push into new school districts.
  • 4Schools Served
  • 4Weeks to Launch
  • 1STTime on Upwork
View Full Case Study
WOVEN & NICE case study screenshot
  • Healthcare
2026

CareInTouch

CareInTouch is a Bay Area home health agency providing skilled nursing and therapy services to patients referred from hospitals and clinics. With over 100 staff, they operate in one of the most complex and compliance-driven healthcare markets in the country.
Outcome
SoftDoes built a custom compliance and billing monitoring app that eliminated missed deadlines, reduced revenue loss, and gave ownership real-time oversight of the entire care workflow.
  • 40% Reduction In Billing Errors
  • 100+Staff Operations Managed
  • 0Missed Compliance Deadlines
View Full Case Study
CareInTouch case study screenshot
  • Startup
2026

Sparkle The Cleaning Service

Sparkle The Cleaning Service is a Detroit-area residential cleaning company with 10 years in business, connecting homeowners with vetted, insured independent cleaners through a subscription-based marketplace platform.
Outcome
Launched a two-sided marketplace that removes the middleman from cleaning transactions, letting cleaners earn more while giving customers a transparent, trust-first booking experience.
  • 75% Platform Transparency
  • 2XPlatform Growth
  • 40%Higher User Retention
View Full Case Study
Sparkle The Cleaning Service case study screenshot
  • Startup
2026

DineMate

DineMate is a Maryland-based dating and connecting platform built around verified profiles, restaurant reservations, and prepaid dining experiences. Founded to bring back authenticity to how people meet and connect.
Outcome
A fully custom web app, live on AWS, replaced a stalled mobile build and gave a first-time founder a scalable foundation to pursue users, partnerships, and investor capital.
  • 60% Time Saved
  • 99%System Reliability
  • 40%Higher User Retention
View Full Case Study
DineMate case study screenshot
  • Healthcare
2026

Prior Authorization AI

Prior Authorization AI is a healthcare automation startup building AI-powered tools to streamline prior authorization for Medicare and Medicaid medical transportation providers in New Jersey.
Outcome
Replaced a 16-hour manual document collection process with an automated intake and submission pipeline, freeing the founder to focus on clinical oversight instead of clerical work.
  • 16Weekly hours saved
  • 63%Admin time reduced
  • 43%Fewer submission errors
View Full Case Study
Prior Authorization AI case study screenshot
  • Education
2026

Grand Central Language Services

Grand Central Language Services provides translation and interpretation for organizations operating in complex, multilingual environments. As demand grew, internal workflows became harder to manage. SoftDoes built a custom platform to streamline coordination, improve visibility, and support scalable operations.
Outcome
The new platform brought structure to daily operations, improving project organization, reducing manual coordination, and increasing visibility across workflows. The system now supports more reliable delivery and gives the team a foundation for growth.
  • 72%Workflow Reduction
  • 48%Coordination Reduction
  • 83%Visibility Increase
View Full Case Study
Grand Central Language Services case study screenshot
  • Healthcare
2026

FMY Orthodontics

FMY Orthodontics, a multi-location practice in West Tennessee, partnered with SoftDoes to replace a spreadsheet-based financial workflow with a custom web platform. The goal was to simplify how staff present treatment financing while allowing patients and families to review and complete decisions remotely.
Outcome
The new platform streamlined internal workflows and removed manual spreadsheet work while giving patients a more flexible, modern experience. Staff spend less time coordinating financing, and families can review and finalize plans from home with ease.
  • 60%Workflow Reduction
  • 75%Remote Adoption
  • 5Locations Aligned
View Full Case Study
FMY Orthodontics case study screenshot
2025

Forbidden Alchemy

Forbidden Alchemy is an alternative fashion brand creating dark, provocative clothing for the metalhead community, with 10% of profits donated to mental health awareness. Its mostly mobile audience struggled with a store that was hard to navigate and weak on functionality.
Outcome
SoftDoes delivered a new UX/UI, quick access to size charts, a simple checkout, and a gothic brand identity across web and merch, turning the Shopify store into a leading destination for alternative fashion and growing revenue month over month.
  • +44%Revenue Month Over Month
  • 86%Design Satisfaction
  • 2.8XUser Retention Growth
View Full Case Study
Forbidden Alchemy case study screenshot
2025

Altera

Altera builds on decades of computational neuroscience research to create digital human beings for gaming. Backed by a $2M pre-seed round led by Andreessen Horowitz, the team needed a landing page that could explain complex agent technology to players, partners, and investors.
Outcome
SoftDoes designed a polished landing page and brand with real-time character personalization, a simplified product story, and a mobile-first layout, giving Altera a trustworthy presence and a private beta sign-up flow for investors and partners.
  • 98%Dynamic Customization
  • 100%Streamlined Navigation
  • $2MPre-Seed Round
View Full Case Study
Altera case study screenshot
  • Real Estate
2025

Brizacorp

Brizacorp manages residential properties and coordinates the staff who handle painting, cleaning, and repair requests. Its team tracked work across messengers, phone calls, e-mail, and paper planners, with no single place to manage requests or measure performance.
Outcome
SoftDoes built a web and mobile CRM with role-based panels for admins, managers, and employees, bringing requests, staff, and statistics into one system and making daily tasks faster to complete and easier to track.
  • 98%Application Stability
  • 95%Utilization Rate
  • 30%Faster Task Completion
View Full Case Study
Brizacorp case study screenshot
2025

Color & Harmony

Color & Harmony is a Kentucky-based color consulting studio led by certified color strategist Diana Cartaya. The studio needed a website that reflects its refined aesthetic, showcases its portfolio, and explains a science-based color process in simple language.
Outcome
In just 2 months, SoftDoes designed and developed a responsive website with a clear journey from first visit to booking, lifting conversions and engagement and helping the studio grow revenue from $7,500 to $25,500+.
  • 45%Conversion Rate Increase
  • 50%Higher User Engagement
  • 2Months to Launch
View Full Case Study
Color & Harmony case study screenshot
2025

The Modern Gentlemen

The Modern Gentlemen sells premium men's skincare featured in Men's Health, GQ, and Men's Journal. Its customers wanted an efficient routine, but generic product suggestions and limited skincare knowledge made choosing the right products hard.
Outcome
SoftDoes redesigned the store around personalization, with a skin quiz, AI-powered product recommendations, and a tiered Prestige Points rewards system, creating a mobile-first experience that lifted conversions and repeat business.
  • 30%Increase in Conversions
  • 25%Higher Customer Retention
  • 92%Mobile Purchases
View Full Case Study
The Modern Gentlemen case study screenshot
2025

OQ Technology

OQ Technology connects IoT devices, machines, and people anywhere on the planet through its satellite network, serving energy, maritime, logistics, agriculture, and mobile operators. Its website made it hard to explore products and reach pricing plans.
Outcome
SoftDoes redesigned the platform with clearer navigation, focused Lite to Enterprise plans, an ROI calculator, and dedicated flows for businesses, individuals, and operators, making the choice easier for users and boosting sales.
  • 4Pricing Plans Clarified
  • 3Dedicated User Flows
  • 1Unified Platform
View Full Case Study
OQ Technology case study screenshot
  • Real Estate
  • Finance
2025

Stay Vest

Stay Vest is a private real estate investment firm that acquires, renovates, and operates boutique hotels for cash flow, tax benefits, and equity gain. It needed a platform that explains its strategy and earns the trust of passive investors.
Outcome
SoftDoes designed a premium, responsive web platform presenting the investment strategy, property portfolio, team, and key operating metrics, with an "Invest with us" form that turns interested visitors into qualified investor leads.
  • 1,500+Guest Stays
  • 200+Rooms Managed
  • 5States Covered
View Full Case Study
Stay Vest case study screenshot
2024

Bokeyno Motorsports

Bokeyno Motorsports is the leading mobile installer of vertical doors for high-performance cars. This Shopify website isn’t just about services—it’s a bold statement of power, style, and expertise. With a sharp layout, strong visuals, and real-world case studies, the site delivers all the information car enthusiasts need to book confidently and instantly.
Outcome
With a mix of dynamic layouts, curated gallery sections, and fast-loading interactions, we kept the user journey focused on action—whether it’s learning about supported models or requesting a quote.
  • 54%Booking Requests
  • 43%Lead Conversion
  • 32%Qualified Inquiries
Bokeyno Motorsports case study screenshot
2025

ai document processing platform

A comprehensive talent solution designed to help companies attract, hire, and retain top talent more effectively. The platform combines AI-powered recruitment technology with employee financial wellbeing programs, enabling smarter hiring decisions while supporting employees’ financial stability and long-term engagement.
Outcome
The new software significantly reduced staff steps for presenting and managing patient financing, replacing a manual workflow with a single streamlined system and improving clarity for both staff and patients.
  • 62%Faster Processing Time
  • 78%Less Manual Work
  • 35%Improved Accuracy
ai document processing platform case study screenshot

Risks in AI implementation, and how we handle them

Implementation risks sit in people and process as much as in the model. Each one gets a control before the system goes live.

What can go wrong
A pilot that never ships
A demo works but never reaches daily use
Low adoption
People keep working the old way
No owner
Nobody is accountable once the project ends
Wrong outputs
The AI makes mistakes on live cases
Data gaps
The workflow’s data is missing or messy
Cost overrun
Usage grows faster than planned
Late security review
IT blocks go-live late in the project
How we handle it
A pilot that never ships
Targets agreed before the pilot, and a rollout plan with permissions, an audit log and monitoring
Low adoption
Training by role, a playbook per team and a usage review after release
No owner
A named process owner before the pilot, and a live system with an owner after rollout
Wrong outputs
Reviewers approve or correct each pilot output, and a person approves risky outputs in production
Data gaps
A data check in the first step, and any blocking gap fixed first, priced in writing
Cost overrun
Cost limits and alerts, with model usage billed at cost on your accounts
Late security review
Vendor documents before the first call, permissions that follow existing roles and an audit log from the start

How we keep data safe during an AI implementation

Inside the access your team already has

Model calls run on your own vendor accounts, permissions follow existing roles, and every AI action is logged. For AI rules and policies, see AI governance and compliance. For health data, our HIPAA-compliant AI guide explains what changes.

  1. Your own vendor accounts

    Model calls run on your own Anthropic, OpenAI, Google, Microsoft or AWS accounts, under your contracts.

  2. Existing roles

    Single sign-on and role-based permissions, so nobody sees more than before.

  3. Approval before changes

    The pilot runs in a test lane on live cases, and nothing changes a record without approval.

  4. An audit log

    An audit log records what the AI read, wrote and changed.

  5. Only the fields needed

    Each request sends only the fields the task needs.

  6. NDA before the first call

    Our NDA is executed before the first call, and procurement gets a certificate of insurance on request.

How to choose an AI implementation consultant

Ask these questions before you sign. Good answers come in writing, with numbers and named people.

Questions to ask, and what a good answer includes

  • Can we see AI you implemented in production? Live systems with results, not demos or slides.
  • Who leads the work week to week? A named senior engineer who meets your process owner every week.
  • How will you measure the pilot? Targets for accuracy, time and cost, agreed before the pilot starts.
  • What if the pilot misses its targets? You keep the code and the findings, and no rollout is forced.
  • How are prices set? A fixed price per phase, in writing, before work starts.
  • Who owns the code and the accounts? You do, with full admin access from day one.
  • How will you get people to use it? Training by role, a playbook per team and a usage review after launch.
  • What paperwork comes first? An NDA and a certificate of insurance before the first call.

Pilot and production prices

One fixed price per phase, agreed before work starts. Model usage and hosting are billed at cost on your own accounts, and the assessment fee is credited to your first build.

  • AI readiness assessment

    2 weeks, ranked projects with costs

    $2,500 fixed

  • Pilot

    One workflow, live cases, a scorecard

    From $7,000

  • Production rollout

    Permissions, audit log, monitoring, training

    From $13,000

  • Maintenance and support

    After launch

    From $500 a month

  • Project Discovery

    Credited to the build

    $490

Why companies choose SoftDoes as their AI partner

Why companies choose SoftDoes as their AI partner
  • 01

    Claude and OpenAI partner programs

  • 02

    Vendor documents first

  • 03

    You own everything

  • 04

    40 AI projects since 2020

  • 05

    Rated 5.0 on Clutch

AI implementation by industry

Each industry brings its own systems, records and rules to the pilot. The industry pages show the use cases and the compliance steps in detail.

  • Healthcare

    Intake, prior authorization and billing work, with HIPAA controls and EHR write-back.

  • Financial services

    Loan file review, account opening checks and fraud alert triage, with audit trails.

  • Insurance

    Claims intake and document review, with adjusters reviewing every AI summary.

  • Government

    Permit intake, records requests and resident service, with staff sign-off on every decision.

  • Accounting

    Client document sorting, workpapers and client requests inside your firm's tools.

  • Logistics

    Tenders, rate requests and freight documents, with your TMS kept current.

Questions about AI implementation

Partners, prices, data and what happens after the pilot. Can't find your answer?

What does an AI implementation partner do?

An AI implementation partner takes AI from an idea to a system your team uses every day. That covers picking the workflow, building a pilot, connecting it to your systems, adding permissions and monitoring, and training the people who use it. SoftDoes runs all of it with one team, and the result runs on your own accounts.

How much does an AI implementation partner cost?

With SoftDoes as your implementation partner, a pilot on one workflow starts at $7,000, and a production rollout at $13,000. If you need help choosing the workflow, our readiness assessment is $2,500 fixed and credited to your first build. Model usage and hosting are billed at cost. Our AI implementation cost guide shows typical ranges for mid-size companies.

How do we choose an AI implementation company?

Ask to see AI running in production, not a demo. Check who owns the code, how the vendor measures a pilot, and whether prices are fixed in writing before work starts. Look for partner status with the model vendors and verified client reviews. Procurement should also receive a certificate of insurance and an NDA before the first call.

What is the difference between AI consulting and AI implementation?

AI consulting ends with advice: a strategy, a roadmap or a list of use cases. AI implementation ends with a working system in production that writes to your records and has an owner. SoftDoes does both in one engagement, so the plan from the strategy work is the plan the same team builds.

Do we need clean data before we start?

No. The first step checks where the data for one workflow lives, who owns it and how usable it is. Many pilots start with data as it is, with a person reviewing every output. If a gap blocks the pilot, we fix that gap first, priced in writing, instead of starting a large data project.

What happens after the pilot?

You get a scorecard against the targets agreed at the start. If the pilot meets them, the production rollout adds permissions, an audit log, monitoring and training, from $13,000. If it misses them, you keep the code and the findings. After launch, maintenance and support start at $500 a month.

What does an AI implementation consultant do?

An AI implementation consultant leads one workflow from plan to daily use. They map the current process, set targets with the process owner and run the pilot. They also coordinate IT and security, and train the people who will use the system. At SoftDoes, a senior engineer fills this role and meets your process owner every week.

How much does an AI consultant cost?

For implementation work, we price by phase. The readiness assessment is $2,500 fixed, a pilot on one workflow starts at $7,000 and a production rollout starts at $13,000. Employee training starts at $2,500 for a half-day workshop for up to 25 people. Each price is fixed in writing before work starts, and model usage is billed at cost.

What is AI strategy consulting?

AI strategy consulting decides where AI should go first and what it is worth. A strategy consultant ranks workflows by hours saved, risk and data readiness, checks vendor and model options, and sets the rules for safe use. With SoftDoes, the strategy work feeds straight into a pilot, so the plan and the build come from the same team.

How long does an AI implementation take?

It depends on the workflow, the systems involved, the data and how fast your team approves each step. The readiness assessment takes 2 weeks. For the pilot and rollout, we set the scope, price and schedule in a written plan before work starts. The plan also lists what we need from you, such as system access and test cases.

Why do AI pilots fail to reach production?

The common reasons sit outside the model. There is no owner, no agreed target, no link to the systems where work happens, or no plan for permissions and monitoring. People also return to old habits without training. We set targets and an owner before the pilot and plan the rollout from the start. Our guide on why AI projects fail goes deeper.

How do you get employees to adopt AI?

Adoption comes from fitting AI into the work people already do. We train each role on its own tasks, write a short playbook per team and review usage after release. Workshops cost $2,500 for a half day with up to 25 people or $4,000 for a full day, and a 6-week program costs $12,000. See AI training for employees.

Which AI tools and systems do you implement?

We implement Claude, ChatGPT, Gemini, Microsoft Copilot and models on Amazon Bedrock. The AI reads from and writes to systems such as Salesforce, HubSpot, NetSuite, QuickBooks, Zendesk, ServiceNow, SharePoint and Google Drive. We pick the model per workflow by accuracy, cost and data rules. SoftDoes is a Claude Partner Network member and an OpenAI Registered Partner.

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This is a no-pressure, 30-minute conversation. We will talk through what you are building, identify risks or unknowns, and outline what it would take to do it right.

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Ready for procurement and legal review

Sample certificates of insurance for professional liability (E&O), cyber liability and general liability

Certificate of insurance

  • Professional liability (E&O)
  • Cyber liability
  • General liability
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