Agents that do the routine steps
Intake, triage, follow-ups and status updates handled by agents that work inside your rules and hand off to people at the right gates.
Rafiki Digital · Applied AI lab
An applied AI lab for the way your business actually runs.
We take a real business process, prototype agents, retrieval and automation around it, and turn what works into production-grade systems your team relies on every day. Experiments first, then software with approvals, SLAs and a full audit trail.
Process agent · run traceIllustrative
intakeOrder email parsedcustomer, item, deadline extractedauto
retrieveSimilar past orders3 matches, lead time 9 daysgrounded
gateOwner approvalquote above thresholdhuman
auditEvery step loggedinputs, sources, who approvedtraced
The lab
From experiment to working system.
We do not start with a chatbot. We start with a process that costs your team time, and run small, honest experiments on it until we know what AI should and should not do there.
01 / map
Map the process
Sit with the people doing the work. Capture stages, handoffs, exceptions and the data behind them.
02 / prototype
Prototype fast
Working agents and screens on your real data within weeks, in a private room you can try and critique.
03 / measure
Measure honestly
Accuracy, time saved and failure cases, side by side with how it runs today. Keep what earns its place.
04 / harden
Ship and harden
Turn the winners into product-grade software with security, monitoring and a human in the loop where it matters.
Answers grounded in your data
Hybrid search across orders, documents, policies and history, so every answer points back to its source.
Help at the moment of work
Drafting quotes, checking a job against spec, flagging what is about to slip. Built into the tools your team already uses.
What we build
Full solutions, not demos.
When a process needs its own system, we build it end to end: the AI, the workflow and the software around it, configured to how your business runs.
Configurable ops tools
Order, job and approval workflows with clear stages and gates. Stages, roles, fields and rules are settings, not code.
Audit and traceability
Every action and every AI decision records what it saw, what it did and who signed off.
SLAs and alerts
Time limits per stage and early warnings when work stalls, so problems surface before customers notice.
Human in the loop
Agents propose, people approve. Thresholds decide what runs on its own and what waits for a person.
Role-based views
Owners see value at risk, managers see the board, the workshop sees its bench. On phone or desktop.
Cloud-native delivery
Secure sign-in, fast on everyday phones, built to scale, with tracing and logs from the first release.
Approach
Lab curiosity, production discipline.
A small team working closely with a few businesses at a time.
Process before model
We pick the problem by the hours it costs, not by the latest model. Sometimes the answer is plain software, and we will say so.
Show early, often
Working prototypes within weeks, in a private room where your team can explore, compare and leave feedback.
Product grade
Configurable systems that can serve the next team and the next branch, with every action traceable.
Work with the lab
Bring us one process. We will show you what it could become.
Pick the workflow that eats your team's week. In a short first conversation we map it together and suggest where an agent, a copilot or plain software would pay off first.
Our public inbox opens soon. For now, reply to whoever shared this page and we will take it from there.
01A 30 minute walkthrough of the process as it runs today.
02Where AI helps, where it does not, and what to try first.
03A small prototype plan you can say yes or no to.