AI & Automation

Custom AI agents that get work done

Not just chat. AI agents that read your data, use your tools and complete multi-step tasks, with clear limits on what they may do alone and when a person must approve.

Tool callingMulti-step workflowsHuman approvalEvaluation

The short version

When a chatbot isn’t enough

Chatbots answer questions. Agents do work: they look up a customer, check stock, draft a quote, update the CRM, send a follow-up and report back. That makes them powerful, and it means they need careful design.

We build agents around one well-defined job, give them only the tools and data that job requires, and add checks: limits on actions, human approval steps, logging of every decision and tests that run before each change. The result is automation you can trust in production.

What's included

  • Use-case design with clear success criteria
  • Tool and API integrations with least-privilege access
  • Guardrails, approval steps and fallback rules
  • Evaluation test set and automated checks
  • Logging and monitoring of agent actions
  • Documentation and handover to your team
Get a fixed-price scope

Capabilities

Agents built for production

The difference between a demo and a dependable agent is engineering discipline.

Tool calling

Agents call your CRM, databases, calendars and internal APIs to complete tasks.

Guardrails

Action limits, input validation and refusal rules for anything out of scope.

Human in the loop

Approvals for refunds, large quotes, outbound messages or any action you choose.

Evaluations

Test sets catch regressions before prompt or model changes go live.

Observability

Every step, tool call and cost is logged for review and debugging.

Flexible hosting

Run on managed platforms, your cloud, or self-hosted n8n.

How it works

From first call to live in weeks

  1. 01

    Pick the job

    We choose one task with clear inputs, outputs and value.

  2. 02

    Design tools and limits

    Define what the agent may read, write and decide alone.

  3. 03

    Build and evaluate

    Build the agent with a test set that measures accuracy and safety.

  4. 04

    Launch with oversight

    Start with human review, then reduce it as accuracy is proven.

Compare

AI agents vs. chatbots and fixed automations

AI agentChatbotRule-based automation
Handles messy inputsYesYesNo
Takes actions in your systemsYes, multi-stepLimitedYes, fixed steps
Adapts to new situationsWithin its guardrailsConversation onlyNo
PredictabilityHigh with evals and limitsMediumVery high
Best forJudgment-heavy, multi-step tasksQ&A and simple requestsRepetitive, structured tasks

Best fit

Who this is built for

  • Teams with repetitive tasks that need some judgment
  • Operations spread across several systems
  • Companies that tried a chatbot and need it to take action
  • Businesses wanting AI with clear controls and audit trails

Popular in

Works with your stack

No rip-and-replace. We integrate with what you already run.

Anthropic ClaudeOpenAIn8nMake.comLangGraphHubSpotSalesforceGoHighLevelGoogle WorkspaceMicrosoft 365SlackPostgreSQL

FAQ

AI Agent Development FAQ

Straight answers to what buyers ask us most. Don't see yours? Ask on a free call.

Ask us directly

Any well-defined task that involves reading information, making a judgment and taking actions through software, such as qualifying leads, preparing quotes, triaging support tickets, reconciling records or researching prospects.

By limiting its tools and permissions, validating inputs and outputs, requiring human approval for sensitive actions, and testing it against an evaluation set before every change.

We choose the model that fits the task, cost and data requirements, and design agents so the model can be changed later without rebuilding the whole system.

Yes. Agents can run in your cloud account or on self-hosted tools like n8n, keeping data under your control.

Taking projects for next month

Let's start something new together

Book a free 30-minute strategy call. We'll map the agents, automations and integrations worth building first, and tell you honestly what isn't.

No obligation Fixed-scope proposal You own the code