What we do

Systems that hold a job, not dashboards that describe one.

We design, develop and deploy autonomous AI systems and custom software architecture that streamline complex industrial workflows for enterprise clients across Africa.

Engagements from: 6 weeks
Based in: Nairobi, Kenya
Serving: The continent
Handover: Always included

01Practice areas

Autonomous agent systems

Software that runs the work, not just the reports.

We build agents that hold a job end to end: reading the inbox, reconciling the ledger, chasing the exception, escalating only what genuinely needs a person. They operate against your real systems, with audit trails on every action and a human gate wherever the stakes justify one.

What you get

Multi-step agents with tool access to your existing systems
Retrieval over internal documents, records and policy
Human-in-the-loop approval gates and full action audit logs
Evaluation harnesses so behaviour is measured, not assumed

Custom software architecture

The system underneath, designed to still be standing in five years.

Most AI projects fail on plumbing rather than models. We design and build the services, data models, queues and integrations that the intelligence sits on, sized honestly for your load, your team and your budget, and documented well enough that someone else could take it over.

What you get

Domain modelling, service boundaries and data architecture
APIs and integration layers over legacy and third-party systems
Web and mobile clients built for low bandwidth and cheap devices
Infrastructure as code, CI, and handover documentation

Industrial workflow automation

Removing the queue, the clipboard and the re-typing.

We map how work actually moves through your operation, including the WhatsApp threads and paper forms nobody put in the process diagram, then automate the parts that cost the most and break the most. Manufacturing, logistics, agriculture, financial operations, field services.

What you get

Process mapping against observed reality, not the org chart
Document and form extraction, classification and routing
Computer vision for inspection, counting and condition checks
Scheduling, dispatch and exception-handling engines

Deployment and operations

Shipped, monitored, and still working next quarter.

A model in a notebook is not a system. We take work through to production and stay on it: deployment pipelines, cost controls, monitoring on both infrastructure and model behaviour, and the training your team needs to own the thing after we hand it over.

What you get

Deployment pipelines, staged rollouts and rollback paths
Monitoring for drift, cost, latency and failure modes
Data protection review against the Kenyan DPA 2019
Team enablement and structured handover

Talk through your process

ManufacturingLogisticsAgricultureFinancial servicesHealthcareEnergyRetailPublic sectorHospitalityConstruction

Agents that hold a job end to endArchitecture that survives handoverAutomation measured in hours returnedDeployed, monitored, owned by your team

02Engagement

How the work runs.

Four phases. You can stop after any of them and still hold something useful: the assessment, the specification, or a working system.

Diagnose

1–2 weeks

We sit with the people doing the work and map how it really moves, including the WhatsApp threads, the spreadsheet somebody maintains at home, and the paper form nobody put in the process diagram. You get a written assessment whether or not you continue with us.

Design

2–3 weeks

We specify the system: what gets automated, what stays human, where the data comes from, what it costs to run per month, and how we will know it worked. If the honest answer is that you do not need AI for this, that is what the document will say.

Build

6–14 weeks

Delivery in two-week increments against a working environment, not a slide deck. You see the system operating on real data early, and every increment is something you could stop at and still have value from.

Hand over

2 weeks, then ongoing

Deployment, monitoring, documentation and training. Your team runs the system; we stay reachable. Support arrangements are a separate, cancellable agreement rather than a lock-in.

03Limits

There is a great deal of money in overstating what this technology will do for a business. We would rather keep the client than win the pitch.

A model cannot fix a process nobody agrees on, invent data you never collected, or carry accountability for a decision that belongs to a person. Where those are the real constraints, we will say so in the assessment and, where it helps, point you at the simpler piece of software that would actually work.

We also do not take work we cannot staff properly. If the engagement needs a specialism we do not have, we will tell you that rather than learn it on your budget.

Next step

Start with the process that annoys everyone.

You almost certainly already know which one it is. Describe it in a couple of paragraphs and we will come back with an honest read on whether we can help.

Start a projecthello@enlobo.com

Nairobi, Kenya · replies within two working days