AI Agents

AI Agents

Agents that handle real tasks inside your business: working through them, not just answering questions about them.

What we offer

AI Agents We Build

Nineteen agents, each built for a specific role rather than a general-purpose assistant asked to cover everything.

Coding Agent

Takes routine development tasks under your engineers review, so they spend time on the harder work.

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Compliance Agent

Checks work against your rules, records what happened and keeps an audit trail you can produce on request.

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Customer Support Agent

Closes routine support cases from start to finish and passes the rest to your team with the background attached.

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Data Analysis Agent

Produces your recurring analysis on schedule and explains what changed since last time.

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Education Agent

Answers admissions and enrolment questions, tracks applications and handles routine parent and student queries.

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Executive Assistant

Manages diary, sorts your inbox and prepares briefing notes before meetings.

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Finance Agent

Chases unpaid invoices, matches incoming payments and flags anything that looks wrong.

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Healthcare Agent

Handles appointments, reminders and patient follow up for clinics, without touching clinical decisions.

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HR Agent

Handles leave requests, answers policy questions and moves new starters through onboarding.

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Inventory Agent

Tracks stock, predicts what will run out and raises reorders before you sell something you do not have.

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Legal Agent

Reviews routine agreements, flags unusual clauses and tracks renewal dates, with decisions left to your lawyer.

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Marketing Agent

Runs your recurring marketing on schedule, from writing the content to sending it and reporting on results.

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Multi-Agent Systems

Several agents working together on a process too large for one, with clear handovers between them.

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Operations Agent

Watches your daily operations and raises problems early, before they turn into missed deliveries.

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Procurement Agent

Requests quotes, compares them properly and prepares purchase orders for approval.

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Project Manager Agent

Tracks milestones, chases task owners and reports honestly when a project is slipping.

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Recruiting Agent

Screens applications against your criteria, arranges interviews and keeps candidates informed.

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Research Agent

Gathers market, competitor and supplier information into a short written summary with sources.

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Sales Agent

Works new leads, asks the qualifying questions, books meetings and keeps your pipeline current without being chased.

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Delivery

How We Deliver

One job, done properly

An agent scoped to a specific role outperforms a general one asked to do everything.

Visible reasoning

You can see what an agent did and why, rather than trusting an opaque outcome.

Human in the loop where it matters

Anything consequential is reviewed before it takes effect.

Connected to real systems

Agents act in the tools you use, not in a sandbox that impresses in a demo.

The process

How a Project Runs

From the first call to handover. You always know which stage you are in and what comes next.

1

Task analysis

The work the agent will take on, broken down as it is actually done.

2

Boundaries

What it may do alone, and what needs a person to approve.

3

Build

The agent, its tools and its access, developed and documented.

4

Evaluation

Tested against real cases, including the ones it should refuse.

5

Deployment

Released into the workflow, with a review step where it matters.

6

Monitoring

Performance tracked and the agent tightened on evidence.

How we keep up

Staying Current

AI changes faster than most technology, and advice that was right last year can be wrong now. Keeping up is part of the service rather than a favour.

We track model releases

New models ship every few weeks and they are not interchangeable. We test the ones that matter against our own cases before recommending anything.

We evaluate rather than assume

A model that benchmarks well can still be wrong for your use case. We measure against your work, not a leaderboard.

We stay vendor-neutral

We are not resellers for anyone, so we can recommend the model that fits and change it when something better arrives.

We follow the rules as they change

AI regulation and data protection guidance keep moving, in Kenya and in the markets our clients sell into.

We build with these tools daily

Our own development runs on AI, so what we recommend is what we already depend on.

We tell clients when things change

If a better or cheaper approach appears for something we built you, you hear about it from us.

Ready to start?

Tell us what you are trying to improve and we will tell you honestly whether AI is the right answer for it.