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AI Agents

AI Agents

Digital teammates that actually get work done.

We design and build AI agents that reason over your data, use your tools and complete multi-step tasks, with guardrails, evaluations and humans in the loop.

Discuss your projectWhat you get

The problem

Chatbots answer questions. Your business needs work done.

Scripted bots frustrate customers and still escalate most requests to humans. Modern AI agents can look things up, take actions in your systems and follow your policies, but only if they're designed, tested and monitored properly.

  • Support queues growing faster than headcount
  • Leads going cold outside business hours
  • Knowledge trapped in docs nobody can find
  • Generic AI tools that don't know your business

What we deliver

Everything you need to ship

  • Agent strategy & design

    Scope, tools, policies and escalation paths defined around a measurable job to be done.

  • Knowledge & retrieval (RAG)

    Your documents, help center and data indexed so the agent answers with sources.

  • Tool integrations

    Secure actions in your CRM, helpdesk, calendar, database or internal APIs.

  • Guardrails & evaluations

    Test suites, red-teaming and policy checks run before every release.

  • Channels

    Deploy to web chat, email, Slack, WhatsApp or voice.

  • Monitoring & improvement

    Conversation analytics, feedback loops and ongoing tuning.

Use cases

Where it pays off fastest

  • 01

    Customer support agent

    Resolve common requests end to end, such as order status, refunds and account changes, and hand complex cases to humans with full context.

  • 02

    Lead qualification agent

    Engage inbound leads instantly, ask qualifying questions, and book meetings straight into your calendar.

  • 03

    Internal knowledge assistant

    Give your team instant, cited answers from policies, SOPs and past projects.

  • 04

    Operations agent

    Monitor inboxes and systems, prepare drafts, update records and flag exceptions.

Process

How the engagement runs

  1. Step 1

    Define the job

    Pick one measurable task and the policies around it.

  2. Step 2

    Build & ground

    Connect knowledge and tools; design the conversation.

  3. Step 3

    Evaluate

    Test against real scenarios and edge cases before launch.

  4. Step 4

    Launch & tune

    Ship to a slice of traffic, monitor and expand.

Related work

See it in practice

FAQ

AI Agents FAQ

What is the difference between an AI agent and a chatbot?

A chatbot follows scripts or answers questions. An AI agent can reason about a goal, look up information and take actions in your systems, such as updating a CRM record or booking a meeting, while following rules you define.

Which AI models do you use?

We are model-agnostic and choose per task, typically using leading models from Anthropic and OpenAI, sometimes alongside smaller or open-source models for cost and speed.

How do you stop an agent from making things up?

We ground answers in your approved sources, require citations, restrict which actions the agent can take, and run automated evaluations against known questions before each release. Uncertain cases escalate to a human.

Can the agent work in our existing channels?

Yes. Agents can run in your website chat, email, Slack, Microsoft Teams, WhatsApp or helpdesk tools such as Zendesk and Intercom.

What does an AI agent cost to run?

Running costs depend on volume and model choice. We estimate them up front and design for efficiency through caching, smaller models for simple steps, and limits on usage.

Keep exploring

Ready to put AI Agents to work?

Tell us about the workflow, product or idea. You'll get a clear plan, timeline and fixed quote within two business days.

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