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

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
Pilot first. Then production.
- 01Pilot priceFrom $7,000, one workflow on live cases
- 02Production rolloutFrom $13,000, once the pilot meets its targets
- 03Not sure where to startA $2,500 fixed, 2-week assessment, credited to your first build
- 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.
Systems we implement AI in
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.
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.
From AI strategy consulting to daily use
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.
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.
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.
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.
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.
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.
Your own vendor accounts
Model calls run on your own Anthropic, OpenAI, Google, Microsoft or AWS accounts, under your contracts.
Existing roles
Single sign-on and role-based permissions, so nobody sees more than before.
Approval before changes
The pilot runs in a test lane on live cases, and nothing changes a record without approval.
An audit log
An audit log records what the AI read, wrote and changed.
Only the fields needed
Each request sends only the fields the task needs.
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

- 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.


























































