AI development and automation for real business work
The strongest starting points are repeated business processes with a clear owner, stable inputs, and a result that can be checked. Examples include lead intake, customer support triage, document handling, booking operations, reporting, retrieval, and API-connected handoffs. An audit may also conclude that a simpler rule-based workflow is safer than an AI agent.
What an engagement produces
- Process and failure-point map
- Prioritized automation roadmap
- Technical implementation plan
- Validation, approval, recovery, and handoff requirements
How the work moves from idea to operation
- Map the current process: people, systems, data, exceptions, approvals, and the cost of failure.
- Choose one bounded outcome: define what the automation may do, what remains human, and how success will be verified.
- Build the smallest useful route: connect only the tools and permissions required for the first production workflow.
- Test failure before scale: validate bad inputs, retries, duplicates, provider limits, escalation, and recovery.
- Document the handoff: leave the team with readable architecture, operating notes, and named ownership.
Public evidence
The portfolio documents eight systems across ecommerce, retrieval, orchestration, computer vision, lead operations, booking, entitlement control, and messaging. Inspect the mission archive, including the Billson Solar AI Sales System and Lead Generation Subscriber Agent. For implementation detail, review the dedicated n8n automation service. Claims are limited to visible or documented evidence; no invented performance result is used.
Questions about AI development and automation
What does an AI developer do for a business?
An AI developer designs and builds practical systems that use AI for a specific business purpose. The work can include AI-assisted document handling, chatbots, retrieval systems, workflow automation, integrations, testing, and clear human approval steps. The right solution depends on the process, data, risk, and outcome—not on adding AI everywhere.
What does an AI automation consultant do?
An AI automation consultant maps a business process, identifies repetitive or failure-prone work, defines the data and approval boundaries, and designs an implementation plan before tools are selected. The result should be a scoped system with clear ownership, validation, recovery paths, and a measurable definition of done.
Can Harrison work with teams outside Kenya?
Yes. Harrison is based in Nairobi and the portfolio is built for Kenya-based and international engagements. Delivery can begin remotely with process mapping, system access boundaries, and a technical implementation plan.
Which automation platforms does Harrison use?
The public portfolio documents work with n8n, JavaScript, Python, REST APIs, webhooks, Airtable, Supabase, Google APIs, OpenAI, Gemini, OpenRouter, retrieval systems, and image workflows. Tool choice follows the process and operating constraints.
What to send for a useful first conversation
Name the process that is breaking or consuming time, the systems and data involved, the result the workflow must produce, the person who owns the decision, the target timeline, and the budget range. That is enough to decide whether the next step should be an audit, a small build, or no automation at all.