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Services

AI Agent Development and Workflow Automation

We build AI agents and automated workflows that take on repetitive work across your email, CRM, documents and internal systems. Each one runs with clear permissions, asks a person before risky actions and logs every step it takes.

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Where we help

Work that agents and automation handle well

Good candidates are frequent, follow a pattern and currently take a person's time to move information between systems.

  • Your team copies data between systems

    Orders from email into the ERP, leads from forms into the CRM, notes from calls into tickets. We automate the transfer and flag the records that need a human.

  • Support and operations queues keep growing

    The same questions and requests arrive every day. An agent drafts the reply or completes the routine steps, and your team approves or handles the exceptions.

  • Research and preparation eat the week

    Account research before sales calls, supplier checks or report assembly from several sources. An agent gathers and summarizes the material so your people start from a draft.

  • An agent pilot that nobody trusts

    You built a prototype, but it sometimes does the wrong thing and nobody can see why. We add evaluation, approval steps and tracing so you can decide, with evidence, whether to roll it out.

What we build

Agents, workflows and the controls around them

Choosing the right level of autonomy is most of the design work. Plenty of tasks need a workflow with one AI step, and we will say so.

  • Workflow automation with AI steps

    Fixed sequences, such as receive an email, extract the order, check stock and create a draft invoice, where a model handles only the steps that need reading or writing. This is the most predictable option and the right start for most teams.

  • Tool-using AI agents

    Agents that decide which tools to call, such as search, CRM lookups or ticket updates, for tasks where the steps vary case by case. Each tool has its own permissions and limits.

  • Chatbots and assistants

    Conversational interfaces for customers or staff that answer from your content. We use these when the main job is answering questions rather than acting in other systems.

  • Human approvals and guardrails

    Approval steps before an agent sends, pays, deletes or changes customer data, plus spending caps, rate limits and a list of actions it is never allowed to take.

  • Evaluation suites

    Recorded test scenarios with expected outcomes, run before every change to prompts, tools or models, so you can see whether a change made things better or worse.

  • Monitoring and audit trails

    Traces of every run showing what the agent read, which tools it called and what it decided, with alerts for failures, cost spikes and unusual behavior.

Process

How we take an agent from pilot to production

We start with one workflow, measure it and widen its scope only when the numbers support it.

See how we work

  1. Map the workflow

    We sit with the people who do the work today and write down each step, system and decision. You receive a workflow map with the steps we recommend automating and the ones that should stay manual.

  2. Choose the design

    We decide between a fixed workflow, an agent or a chatbot, and define permissions and approval points. You receive a short design document and the list of test scenarios.

  3. Build a supervised pilot

    The first version runs with a person approving each action. You receive a working pilot on real cases and a weekly report of what it got right and wrong.

  4. Widen autonomy carefully

    Steps that pass consistently move to automatic, while risky actions keep their approval step. You receive the evaluation results behind each change.

  5. Run and hand over

    We set up monitoring, alerts and a runbook for when things go wrong. You receive dashboards, documentation and the evaluation suite to re-run after any change.

Tech stack

Agent tooling we work with

We keep the orchestration simple and pick frameworks only when they save real work.

Models
ClaudeGPTGeminiLlama
Agent frameworks
Claude Agent SDKOpenAI Agents SDKLangGraphVercel AI SDKModel Context Protocol
Workflow and orchestration
n8nTemporalInngestZapier
Evaluation and tracing
LangfuseLangSmithpromptfooOpenTelemetry

AI agents and automation FAQ

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

A workflow follows fixed steps you define, with AI used for individual steps like reading an email. An agent decides which steps and tools to use for each case. A chatbot mainly answers questions in a conversation. Workflows are the most predictable, so we use agents only where the steps really vary.

Can an agent take actions without anyone checking?

Only for actions you approve in advance and only after testing shows they are reliable. Sending money, emailing customers or changing records keep a human approval step until you decide otherwise, and some actions are blocked entirely.

How do you know the agent is working correctly?

We record test scenarios with expected outcomes and run them before every change. In production, every run is traced, and we track success rate, cost per task and how often people override the agent.

Which systems can you connect to?

Anything with an API, including common CRMs, help desks, email, Slack, Google Workspace, Microsoft 365, databases and your own internal services. For systems without an API we look at exports, webhooks or other options case by case.

How long does a pilot take?

A supervised pilot of one workflow usually takes three to five weeks, including mapping and test scenarios. Production rollout depends on how many steps move to automatic and on your internal approvals.

When is an agent the wrong choice?

When the steps are always the same, a plain automation is cheaper and more reliable. When a single mistake is very costly and there is no review step, or when the task happens a few times a month, the build usually is not worth it.

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Next step

Talk to us about AI Agents & Automation

Book a free 30-min call. Tell us what you need and we will suggest a practical first step, or tell you honestly if we are not the right fit.

Book a free 30-min call