--- title: "AI Agent Development Company | Agility" url: https://agilitytech.ai/ai-agent-development description: "AI agent development that ships autonomous, multi-step agents in 3 to 6 weeks. Research, sales, data, and DevOps agents built by senior engineers. Book a call." publisher: Agility (agilitytech.ai) --- Autonomous AI agents # AI agents that do the work AI agent development at Agility produces autonomous multi-step systems that plan, use tools, and execute workflows without human input. [Design my agent](https://agilitytech.ai/contact)[See agent results](https://agilitytech.ai/case-studies) Scoping to production3 to 6 wks To a working prototypeUnder 2 wks AI projects shipped200+ Scoped with milestonesFixed price The short answer ## What is AI agent development? AI agent development is building autonomous software that plans and executes multi-step tasks on its own, using tools, APIs and data, instead of answering a single prompt. Agility builds agents on LangGraph, AutoGen and custom orchestration layers with GPT-5 and Claude Opus 4, and ships them to production in 3 to 6 weeks. See the results in our [case studies](https://agilitytech.ai/case-studies), or [book a free agent scoping call](https://agilitytech.ai/contact). How it works ## Agents built on tested integrations Our agents handle tasks like researching and drafting reports end to end, processing and routing support tickets, enriching CRM records from web sources, generating and validating code, and executing data pipelines with full exception handling. Each agent connects to your existing tools, APIs, databases, browsers and file systems through tested integrations, not brittle screen automations. Deployment runs 3 to 6 weeks from scoping to production. We deliver the agent system, an evaluation framework measuring task completion rate and error rate, monitoring dashboards, and runbooks for your engineering team. Every execution is logged, exceptions are flagged for human review, and all failure modes are mapped before go-live. How we deliver agents From scoping to production3 to 6 weeks To a working prototype, oftenUnder 2 weeks Agent framework, alongside AutoGen and custom orchestrationLangGraph Typical agent project range, fixed price with milestones$20,000 to $120,000 Agent types ## Agents for every function We build agents that slot into your business workflows and execute tasks that used to require human staff. ### Research and analysis agents Agents that browse the web, pull from databases, synthesise reports, and surface insights autonomously. - Competitive intelligence - Market research - Due diligence reports - News monitoring and summaries ### Sales and outreach agents Autonomous prospecting: find leads, enrich data, personalise outreach, and log to CRM. - Lead discovery and enrichment - Personalised email sequences - LinkedIn outreach - Follow-up automation ### Data processing agents End-to-end data pipelines where the agent reads, transforms, validates, and writes data across systems. - Invoice and document extraction - ERP data sync - Data quality checks - Automated reporting ### Multi-agent orchestration Systems where specialised agents (planner, executor, verifier) collaborate to handle complex workflows. - LangGraph agent networks - Tool-calling pipelines - Human-in-the-loop approval - Parallel task execution ### Engineering and DevOps agents Agents that write code, run tests, fix bugs, and open pull requests for your engineering team. - Code generation and review - Test generation - Infrastructure provisioning - Incident triage ### Customer-facing agents Conversational agents with memory, tool use, and the ability to take real actions inside your systems. - Order management - Account self-service - Booking and scheduling - Returns and complaints Case studies ## Automation we have shipped [See all case studies](https://agilitytech.ai/case-studies) ### Demand forecasting Manufacturing A machine learning forecasting engine for a manufacturer: 88% prediction accuracy in targeted demand scenarios and forecast preparation cut from days to hours. [Read the manufacturing case study](https://agilitytech.ai/case-studies/manufacturing-ai) ### Insurance statement automation Insurance Document extraction for a UK brokerage handling 500+ statements a day: processing cut from 4 hours to 15 minutes per batch and 95% less manual data entry. [Read the insurance case study](https://agilitytech.ai/case-studies/insurance-automation) ### Retail operations automation Retail Automation and real-time analytics for a UK retail pharmacy network across 50+ branches: 95% of manual workflows automated and 20+ hours saved each week. [Read the retail case study](https://agilitytech.ai/case-studies/retail-analytics) Process ## How we build your agent - 013 to 5 days ### Agent design workshop Map the exact workflow, define tool access, guardrails, and success metrics for your agent. - 021 to 2 weeks ### Tool and integration build Build every tool the agent needs: APIs, database connections, web scraping, file I/O and external services. - 032 to 4 weeks ### Agent development and evals Build the agent loop, test against real scenarios, tune prompts and routing logic, and measure reliability. - 041 week ### Deploy and monitor Production deployment with observability, failure alerting, and human escalation paths. Tech stack ## Agent tech stack ### Agent frameworks LangGraph, LangChain Agents, AutoGen, CrewAI and custom loops ### LLMs GPT-5, Claude Opus 4 and Sonnet 4, Gemini 2.5 Pro, Llama 4, Mistral Large ### Tool calling OpenAI Function Calling, Claude Tool Use, MCP (Model Context Protocol) ### Memory and RAG Pinecone, Weaviate, pgvector, Redis, Chroma ### Orchestration Kubernetes, Celery, Temporal, AWS Step Functions, Docker ### Observability LangSmith, Weights & Biases, Helicone, custom dashboards FAQ ## AI agent development: common questions What teams ask before commissioning an autonomous AI agent. [Ask us something else](https://agilitytech.ai/contact) **What is AI agent development?+** AI agent development is building autonomous software that plans and executes multi-step tasks on its own, using tools, APIs, and data, instead of just answering a single prompt. Agility builds these agents on frameworks like LangGraph and AutoGen with GPT-5 and Claude, so they can research, decide, act, and handle exceptions across a full workflow. **What can AI agents actually automate?+** Agents handle multi-step knowledge work: researching a topic and drafting a report end to end, triaging and routing support tickets, enriching CRM records from web sources, generating and validating code, and running data pipelines with exception handling. If a workflow has clear steps and connects to tools or APIs, an agent can usually automate it. **How long does it take to build an AI agent?+** We deliver production agents in 3 to 6 weeks from scoping to deployment, with a working prototype often ready in under two weeks. Timeline depends on how many tools the agent integrates with and how much evaluation and guardrail work the use case requires. **What does AI agent development cost?+** Most agent projects range from $20,000 to $120,000 depending on the number of integrations, the complexity of the workflow, and the evaluation and monitoring required. We scope each build to a fixed price with milestones before development starts. Book a free scoping call for a concrete estimate. **How do you keep autonomous agents reliable and safe?+** Every agent ships with an evaluation framework measuring task-completion and error rates, full execution logging, human-in-the-loop review on flagged actions, and mapped failure modes before go-live. We use tested API and database integrations rather than brittle screen automation, and add guardrails so agents fail safely instead of acting on bad data. **How do agents integrate with our existing systems?+** Agents connect to your existing tools, APIs, databases, browsers, and file systems, through tested integrations, and run inside your environment so your data stays under your control. You receive the deployed agent system, the evaluation harness, monitoring dashboards, and runbooks for your engineering team. **What is the difference between an AI agent and a chatbot?+** A chatbot answers a question and stops. An AI agent plans a goal into steps, calls tools and APIs, acts on the result, checks its own work, and loops until the task is done. For example, not just describing how to process an invoice but actually extracting it, validating it, and posting it to your ERP. Agents have memory, tool access, and autonomy; chatbots mostly generate text. **Can you build AI agents for a specific industry or software?+** Yes. We build agents around your stack and sector: for example, provisioning and quoting agents for maritime and ship supply (see our product Tidal), claims agents for insurance, demand-forecasting agents for manufacturing and FMCG, and agents that plug directly into Salesforce, HubSpot, SAP, NetSuite, Zendesk, Slack and custom internal APIs. If it has an API or a database, an agent can work with it. **AI agent development services vs building in-house: which is right for us?+** Building in-house means hiring scarce agent engineers, learning frameworks like LangGraph, and solving evaluation, guardrails and observability from scratch, usually months before a reliable agent ships. Agility delivers a production agent in 3 to 6 weeks and hands over the code, eval harness and runbooks so your team can own it afterwards. Many clients use us to ship the first agents fast, then take development in-house. ## Build an agent that works while you sleep Tell us the workflow you want to automate. We'll scope it and have a working agent prototype in under two weeks. [Get a free agent scoping call](https://agilitytech.ai/contact)