AI agent development at Agility produces autonomous multi-step systems that plan, use tools, and execute workflows without human input. Built on LangGraph, AutoGen, and custom orchestration layers using GPT-4o and Claude 3.5, these 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, file systems — through tested integrations, not brittle screen automations. Deployment runs 3–6 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.
We build agents that slot into your business workflows and execute tasks that used to require human staff
Agents that browse the web, pull from databases, synthesise reports, and surface insights autonomously
Fully autonomous prospecting — find leads, enrich data, personalise outreach, and log to CRM without human input
End-to-end data pipelines where the agent reads, transforms, validates, and writes data across systems
Architect systems where multiple specialised agents collaborate — planner, executor, verifier — to handle complex workflows
Agents that write code, run tests, fix bugs, and open PRs — accelerating your engineering velocity
Conversational agents with memory, tool use, and the ability to take real actions inside your systems
Manual demand forecasting taking 3 days per cycle — inaccurate and too slow for procurement
Multi-step AI agent pulling sales data, running forecasting models, and generating purchase orders autonomously
50% better forecast accuracy. Cycle time: 3 days → 4 hours.
Claims processing required 5 manual touches across 3 systems, taking 2-3 days per claim
Document extraction + classification agent integrated with claims management system
95% straight-through processing. Average handling time cut from 2 days to 11 minutes.
Price benchmarking required an analyst to manually visit 50+ competitor sites daily
Web-browsing agent that monitors competitors, detects price changes, and alerts the pricing team
100% competitor coverage. 8 hours of analyst time saved daily.
Map the exact workflow, define tool access, guardrails, and success metrics for your agent
Build every tool the agent needs — APIs, DB connections, web scraping, file I/O, external services
Build the agent loop, test against real scenarios, tune prompts and routing logic, measure reliability
Production deployment with observability, failure alerting, and human escalation paths
What teams ask before commissioning an autonomous AI agent.
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-4o and Claude, so they can research, decide, act, and handle exceptions across a full workflow.
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.
We deliver production agents in 3-6 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.
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.
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.
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.
Tell us the workflow you want to automate. We'll scope it and have a working agent prototype in under two weeks.