AI Integrations
Connecting AI to the platforms your business already runs on, so it works where your team already is.
Platforms We Integrate With
Nineteen integrations across the cloud platforms, business systems and channels Kenyan businesses actually use.
AWS
Building and running AI systems on AWS.
Learn moreAzure
AI systems on Azure, alongside Microsoft software.
Learn moreCustom APIs
Connecting systems with no ready made integration.
Learn moreConnect AI to Workspace, train teams on its AI features.
Learn moreGoogle Cloud
AI systems on Google Cloud, especially data heavy work.
Learn moreHubSpot
AI connected to HubSpot, plus training on its tools.
Learn moreMicrosoft
Connect AI to Microsoft 365, and train staff on Copilot.
Learn moreOracle
Reporting and forecasting around Oracle systems.
Learn moreQuickBooks
Invoice entry, M-Pesa matching and reporting.
Learn moreSalesforce
AI connected to Salesforce, plus training on its features.
Learn moreSAP
Forecasting and anomaly detection on top of SAP.
Learn moreShopify
Order enquiries, product content and basket recovery.
Learn moreSlack
AI assistants and alerts inside Slack.
Learn moreTeams
Assistants, meeting summaries and alerts in Teams.
Learn moreService, sales and booking over WhatsApp.
Learn moreWooCommerce
Order handling and product content for WooCommerce.
Learn moreWordPress
Content help, site search and enquiry handling.
Learn moreXero
Bookkeeping entry, reconciliation and reporting in Xero.
Learn moreZoho
AI across the Zoho suite, plus training on its features.
Learn moreHow We Deliver
Documented interfaces
Built against supported APIs rather than fragile workarounds that break on update.
Least privilege
Integrations get the access they need and no more.
Failure handled
Retries, queues and alerts, because network calls fail and silence is the worst outcome.
Handed over documented
What connects to what, so the next person is not reverse-engineering it.
How a Project Runs
From the first call to handover. You always know which stage you are in and what comes next.
Systems review
What you run, which versions and what they expose.
Integration design
What moves where, how often, and who owns the record.
Authentication
Access set up with the narrowest permissions that work.
Build and test
Tested with real data, including the failure paths.
Deployment
Released with monitoring, so a break is noticed rather than reported.
Documentation
Written down and handed over.
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.