AI agents that do the work

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.

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 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.

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.

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.

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.

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.