Lead capture automation
Problem: enquiries arrive by form, WhatsApp and email and some are never followed up. Solution: every lead lands in one place and the right person is notified instantly.
AI, automation & intelligent solutions
Less repetitive work. Faster responses.
We help businesses in Kenya connect their systems, remove manual steps and apply AI only where it solves a real problem. Every automation is tied to a measurable outcome.
- Website formTrigger
- Save to CRMAction
- Classify requestAI step · reviewed
- Alert sales teamAction
- Weekly reportMeasure
Our method
Identify. Automate. Augment. Measure.
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01
Identify
Find repetitive or inefficient business processes: where time is lost, where things fall through the cracks.
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02
Automate
Connect systems and eliminate unnecessary manual work, with clear points where people review or approve.
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03
Augment with AI
Use AI where it provides a practical business benefit, such as summarising, classifying or drafting, never as a gimmick.
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04
Measure
Track the impact through analytics: response times, hours saved, errors avoided, leads followed up.
Solutions
Every solution starts with a real problem.
Typical automations and AI integrations we design and build.
Email workflows
Problem: the same follow-up emails are typed by hand. Solution: triggered confirmations, reminders and follow-ups with your wording.
WhatsApp automation
Problem: customers wait for simple answers. Solution: pre-filled messages, instant notifications and structured replies through the WhatsApp Business platform.
Customer support
Problem: the team answers the same questions every day. Solution: routing, templates and self-service answers drawn from your approved information.
AI assistants
Problem: visitors can't find answers quickly. Solution: an assistant limited to your content, with a clear hand-off to a person.
RAG over your documents
Problem: answers are buried in policies, manuals and past documents. Solution: retrieval-augmented generation (RAG) that answers from your approved sources and shows where each answer came from.
AI agents
Problem: multi-step tasks still need someone to drive every step. Solution: AI agents that work through defined tools and limits, with a person approving important actions.
AI readiness & use cases
Problem: it is unclear where AI would actually help. Solution: a review of your processes and data to find practical, low-risk use cases worth piloting.
Content workflows
Problem: publishing takes too many steps. Solution: drafting, review and publishing flows with AI assistance where it helps.
Data processing
Problem: data is copied between spreadsheets and systems. Solution: automatic syncing, cleaning and validation.
CRM automation
Problem: the CRM is out of date. Solution: contacts, deals and activities updated automatically from your website and tools.
Document processing
Problem: details are retyped from forms, invoices or PDFs. Solution: extraction into structured data for review.
Reporting automation
Problem: weekly reports are compiled by hand. Solution: scheduled reports and dashboards that update themselves.
API integrations
Problem: systems don't talk to each other. Solution: reliable connections through each system's API, with error handling and logging.
A note on AI
Practical, supervised and honest about limits.
AI tools can summarise, classify, draft and answer questions, and they can also be wrong. We use them where a mistake is easy to catch and the time saved is real. Where accuracy matters, a person stays in the loop. We will tell you when a simple rules-based automation is the better, cheaper option.
Before we connect any AI service to your data we agree what information it can access, where that data is processed and how outputs are checked.
FAQ
Frequently asked questions
What kinds of tasks can be automated?
Tasks that follow clear rules and repeat often: moving form submissions into a CRM or spreadsheet, sending follow-up emails, notifying staff on WhatsApp or email, generating reports and syncing data between systems.
Do we need AI to automate?
Usually not. Most automation is rules-based. We only recommend AI where it adds a practical benefit, such as summarising documents or answering common questions from approved information.
Will automation replace our staff?
The goal is to remove repetitive, error-prone steps so your team can spend time on customers and decisions. We design automations with clear points where people review or approve.
Can you build AI assistants or agents?
Yes, where they solve a real problem. We integrate large language models, retrieval-augmented generation (RAG) over your approved documents, and AI agents that work within clear limits, with people reviewing important steps.
How do we know it is working?
We define what success looks like before we build (for example response time or hours saved) and track it, so improvements are measured.
Let's talk
What would you automate first?
Describe the process that takes too much time. We'll map it and show you what can be automated.