
U.S.-Based
AI Agent Development
Choosing the right AI agent development company is now a defining decision for enterprises that want to move beyond generic chatbots and disconnected AI experiments. SoftDoes is a B2B software engineering partner that provides AI agent development services as part of broader AI development, data engineering, cloud, and integration capabilities.

What Is AI Agent Development?
AI agent development is the practice of designing, building, and operating autonomous or semi-autonomous software systems that use large language models, tool orchestration, retrieval mechanisms, and company data to complete business jobs.
Strategic Solution Design and Workflows
We identify where AI agents add value in support, operations, sales, and back office workflows. Projects define success metrics, failure handling, and escalation. AI agents automate complex enterprise workflows with clear scope.
Custom Agent Architecture and Guardrails
AI agents need robust architecture. SoftDoes builds deterministic control flows with LLMs, retrieval augmented generation, policies, and fallback logic. Human-in-the-loop design and testing ensure reliability.
Seamless Systems Integration and Scalability
SoftDoes integrates AI agents with CRMs, ERPs, and APIs using secure, scalable cloud platforms. Our AI integration services ensure reliable performance, legacy compatibility, and compliance for seamless enterprise integration.
What AI agents do for a business
Agents pay off where the same kind of work arrives every day and follows rules your team can explain. These are the four areas they cover.
Customer support
Answers routine questions from your own policies and order data, drafts replies for the hard cases and hands the rest to your team with the context attached. Example: "Where is my order?" and appointment changes.
Operations
Moves work between systems: reads incoming documents, fills in records, checks them against your rules and flags what does not match. Example: intake forms into your CRM.
Sales research
Researches each new lead (company, size, recent news, fit) and writes a short brief your rep can read before the first call. Example: a one-page brief for every inbound lead.
Back office
Prepares invoices, matches payments, chases missing paperwork and drafts reports, with a person signing off before anything goes out. Example: month-end reconciliation prep.
Business Outcomes of AI Agent Development
65%
AI agents handle most repetitive tier one questions automatically via chat and email, freeing human agents for complex cases. First response times improve from hours to seconds.
50%
Document-heavy workflows like invoice classification and data extraction cut from hours to minutes. AI reduces costs by streamlining these processes.
46%
AI agent integration automates multi step tasks in CRM and ERP, increasing capacity without extra headcount.
How a project runs
We pick the first workflow with you, then put tools, data and approval rules in writing
Tested on your real past cases, then your team uses it while we watch the results
Monitoring, fixes and improvements
How we build AI agents you can trust
An agent is only useful if you can trust what it does. Every agent we build has the same four parts.
Related AI & Machine Learning Services
What an AI agent costs and how long it takes
Price depends on how many systems the agent touches and how many approval steps it needs. These ranges are where most projects land.
Running costs for the AI model depend on volume; we estimate them before we build. Every project starts with a free 30-minute call.
AI agents and workflows we have shipped
Real projects, practical results, measurable impact
Frequently Asked Questions
Everything you need to know about working with SoftDoes. Can’t find an answer?
When is a custom AI agent better than an off the shelf tool?
When your workflows cross multiple systems, require compliance controls, involve proprietary data, or demand deep customization that generic agent platforms cannot provide. Custom AI agents handle complex workflows, AI driven processes, and integrations that generic solutions cannot. Evaluate integration capabilities with existing systems before deciding.
What business workflows can SoftDoes automate with AI agents?
Support desks, operations and service requests, sales enablement and lead qualification, and back office document workflows. Anywhere repeatable knowledge work creates a bottleneck, agents can deliver workflow automation and enhancing operational efficiency across departments.
How do you ensure guardrails, security, and data privacy with proprietary data?
Through architecture choices: private deployments, encryption at rest and in transit, role based access control, tool permissions, and data residency controls. We design for compliance with standards like GDPR and SOC 2. Data privacy, security, and compliance standards are essential in AI agent development, and they are built into our process from discovery onward.
How do custom AI agents integrate with our legacy software?
Through secure APIs, database connectors, and wrappers around legacy applications. Where legacy systems lack modern interfaces, SoftDoes builds integration layers and stages modernization so agents can connect without disrupting existing operations. Integrating AI with older systems requires careful architecture and testing.
What is included in the AI discovery or prototype phase?
Deliverables include workflow maps, an architecture document, a proof of concept agent running on one target workflow, defined success metrics, and a clear path to production. This phase also addresses AI strategy alignment, risk tolerance, and business requirements validation.
How do you support the solution after production launch?
Monitoring, incident response, retraining, SLA options, and knowledge transfer to your teams. We offer continuous support and help your organization scale agents to new workflows over time. AI agents require continuous monitoring and optimization, and we structure support engagements accordingly.
How do you price custom AI agent development projects?
Phase based pricing aligned to discovery, prototype, and production. Cost factors include scope, number of integrations, data complexity, and compliance requirements. SoftDoes avoids hidden costs by scoping each phase independently with clear deliverables. This approach gives you a measurable path to measurable business impact without open ended commitments.





























