AI Implementation
Putting AI into the parts of your business where it earns its place, and making sure your team actually uses it afterwards.
AI Implementation Services
Twenty-two implementation services covering the functions where AI most often pays for itself.
AI Analytics
Ask questions about your business in ordinary words and get answers from your own data, without building reports.
Learn moreAI Chatbots
Website and WhatsApp chatbots that answer from your own documents, so they give correct answers instead of making things up.
Learn moreAI CRM
Fills in missing contact details, removes duplicates and tells your team who to call next.
Learn moreAI Customer Service
Sorts incoming messages, drafts replies and closes simple cases in your existing inbox or helpdesk.
Learn moreAI Data Processing
Cleans, matches and reformats data at volumes that are not practical by hand.
Learn moreAI Document Processing
Reads invoices, forms, IDs and scans, and turns them into data your systems can use.
Learn moreAI Email
Sorts a busy mailbox, drafts replies and summarises long threads so nothing important is missed.
Learn moreAI ERP
Adds demand forecasting and early warnings to the ERP you already run.
Learn moreAI Finance
Reads invoices, matches payments and flags anything unusual, so month end takes hours instead of days.
Learn moreAI HR
Screens applications, handles onboarding paperwork and answers staff policy questions without an HR helpdesk.
Learn moreAI Knowledge Base
One place where staff and customers get the same correct answer, kept up to date automatically.
Learn moreAI Legal
Reads contracts, pulls out key terms and flags unusual clauses, with a lawyer still making the decisions.
Learn moreAI Marketing
Writes campaign content, groups your customers by behaviour and schedules the sending, using your own results.
Learn moreAI Operations
Plans schedules, assigns jobs and adjusts to demand as it changes during the day.
Learn moreAI Procurement
Compares supplier quotes, drafts purchase orders and routes them for approval automatically.
Learn moreAI Receptionist
Answers calls, takes messages and books appointments around the clock, without hiring night staff.
Learn moreAI Sales Assistant
Replies to new enquiries in seconds, asks qualifying questions and books meetings straight into your calendar.
Learn moreAI Scheduling
Handles booking, reminders and rescheduling by message or phone, and cuts down on no shows.
Learn moreAI Search
Search across your internal files that understands what you mean, not just the words you typed.
Learn moreAI Voice Agents
Phone agents that answer calls, take details and book appointments in English and Swahili, without a call centre.
Learn moreAI Workflow Automation
Multi step processes that run start to finish without anyone chasing them.
Learn moreCustom AI Development
Built from scratch for problems where no existing product fits.
Learn moreHow We Deliver
Process first
We map how the work is done now, because automating a broken process makes it faster and no better.
Your team involved early
The people who will use it help shape it, which is most of why adoption succeeds or fails.
Rolled out in stages
One function at a time, so problems surface small.
Training as part of delivery
A system nobody was shown how to use is a system that gets worked around.
How a Project Runs
From the first call to handover. You always know which stage you are in and what comes next.
Assessment
Which functions are worth doing first, and which are not worth doing at all.
Process mapping
How the work runs today, from the people who do it.
Pilot
One function, one team, measured against how it worked before.
Rollout
Extended in stages once the pilot has earned it.
Training
Your team shown how to use it, and what to do when it is wrong.
Review
Measured against the original goal, and adjusted.
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.