AI agent development

AI agent development that does the work

Your team should not spend every day reading the same kinds of documents, sorting the same requests, drafting the same responses, and updating the same records. We build the production AI agent that handles that work inside your existing tools, with a person in control where judgment matters.

What your AI agent can handle

Document intake

Read forms, emails, PDFs, and attachments; extract what matters; check completeness; and route each item to the right place.

Research and qualification

Gather context from approved sources, compare it with your criteria, prepare a recommendation, and send uncertain cases for review.

Requests and case handling

Classify incoming work, summarize the history, draft the next response, and escalate exceptions to the right person.

Records and follow-up

Update business systems, prepare follow-ups, surface missing actions, and keep a reviewable history of what happened.

How your Sprint Build works

  1. 01

    Start with a free build plan. You get the recommended approach, scope, timeline, and price range in writing, and the plan is yours either way.

  2. 02

    Agree the Sprint Build scope and price before work starts, including integrations, review points, permissions, and the success criteria.

  3. 03

    Review working software every week against real examples, so you can correct the system while it is being built.

  4. 04

    Launch in your accounts with monitoring, fallbacks, documentation, and a support window. You own 100% of the code, data, and IP.

What we avoid

  • AI where a simple rule or an off-the-shelf product would work better

  • Unreviewed actions where a wrong answer could cost money, trust, or safety

  • Disconnected prototypes that never reach the tools your team uses

  • Systems you cannot own, inspect, or operate without the original vendor

Fit check

Bring us the work your team keeps doing by hand. In 30 minutes, we will tell you what an agent should handle, where a person should stay in control, what to buy instead, and what to skip. You keep the build plan either way. If we build it, you own the code, data, and IP from day one. When the answer is a broader system rather than a single agent, we handle the custom software development around it too.

Get your free build plan

Common questions

How much does it cost to build a custom AI agent?

Like any custom software, cost tracks scope rather than an hourly meter. A focused first agent that handles one workflow well falls in a predictable range, which we put in writing before work starts. The free build plan gives you that range up front, along with an honest read on whether an agent will actually pay for itself.

What can an AI agent do inside a business?

An AI agent can read incoming documents and requests, research context, sort and route work, draft responses, update records, and prepare the next action. We add human review anywhere a mistake could be costly.

Which work is a strong fit for an AI agent?

The strongest fit is recurring work that involves messy inputs, repeated decisions, several tools, and a clear owner. The free build plan will tell you whether an AI agent, conventional software, an off-the-shelf product, or no build at all is the right answer.

How is an AI agent different from a chatbot or basic automation?

Basic automation follows fixed rules, and a chatbot mostly answers questions. An AI agent can work with unstructured inputs such as documents, messages, and call notes, use your business context to decide the next step, then take an action inside your tools. We still use fixed rules, permissions, and review points to keep the system dependable.

How do you keep an AI agent from making costly mistakes?

We put a person in control wherever a wrong answer could cost money, trust, or safety. The agent prepares the work and a reviewer approves it, permissions limit what it can touch, and every action leaves a reviewable history. Low-risk steps run automatically; high-stakes steps wait for sign-off.

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