A support assistant that answers customer questions from your FAQs and hands over to staff when unsure.
The problem
Repetitive knowledge work quietly eats your team’s week.
- 01Your team answers the same questions again and again.
- 02Useful knowledge is buried in documents nobody has time to search.
- 03Incoming requests pile up waiting for someone to sort and route them.
- 04You’re curious about AI but unsure where it would genuinely help.
Our solutions
What we can build for you
Scroll to step through each solution
Solution 01 / 04
Knowledge assistants
Answer questions from your own documents, policies and product information — with sources.
Use cases
How this could look in your business
An internal assistant that finds the right clause in policy documents for HR or operations.
An agent that drafts quotes from incoming inquiries for a salesperson to review and send.
Our approach
Discover, plan, build, test, launch — then improve.
- 01
Discover
Understand your goals, users and constraints.
- 02
Plan
Agree requirements, priorities and scope.
- 03
Build
Develop iteratively, with regular check-ins.
- 04
Test
Validate functionality, usability and reliability.
- 05
Launch & improve
Deploy, measure and refine.
Related projects
Case studies for AI agents are on the way.
In the meantime, ask us for a walkthrough of relevant prototypes and demos.
FAQ
Questions we often hear
Have a question that isn't here? Ask it on a short call.
Book a 30-minute callAn AI agent is software that uses a language model to carry out defined tasks, such as answering questions from your documents, drafting replies or routing requests, using the tools and data you allow. A basic chatbot follows scripted answers; an agent can look things up and take steps.
Typical uses are answering customer or staff questions from your own documents, drafting invoice reminders for review, summarising the week’s support requests, and routing incoming requests to the right person.
AI can be wrong, so we design agents with clear limits and keep people in control: sensitive actions are reviewed by a person, answers are grounded in your documents where possible, and the agent only has access to what it needs.
That isn’t the goal. Agents handle defined, repetitive tasks so your people can focus on work that needs judgment.
Yes. We agree what the agent can access and how that data is stored and protected.
No. A defined task and a set of documents is enough to begin. A 2025 Zoho and Arion Research survey of Kenyan organisations found lack of technical expertise was the top barrier to AI adoption (48.8 percent), and only 11.3 percent build AI in-house, so most rely on partners.
We start from the task. If a simpler automation does the job better, we’ll tell you.
Start a project
Tell us which task you’d hand to an assistant.
Describe your situation in your own words. Your note goes straight to the team that handles AI agents.