Service 01
AI Business Automation
An AI agent that drafts the purchase order, checks it against the budget line, and routes it for one-click approval is not a demo anymore - it's a Tuesday. We build agents, workflow automation, and business assistants that take real tasks off real queues, with audit trails your compliance team can live with.
Three ways we deploy AI inside a business
AI Agents
Task-specific agents that act, not just answer: reading incoming invoices and posting draft ledger entries, chasing overdue confirmations, reconciling delivery notes against POs. Each agent runs inside defined permissions, logs every action, and escalates to a person the moment confidence drops.
Workflow Automation
The unglamorous middle layer - approvals, handoffs, notifications, retries. We map the workflow as it actually happens (including the part where someone forwards a screenshot on WhatsApp), then rebuild it so the system carries the item from step to step and people only touch the exceptions.
Business AI Assistants
Assistants trained on your SOPs, price lists, and policy documents, deployed where your team already works. A branch manager asks about the returns policy for a discontinued SKU and gets the answer with the source cited - not a link to a 40-page PDF.
How an automation engagement actually runs
Shadow the work first
We sit with the team doing the process - order entry, claims, dispatch - and time it. The automation case is built on observed minutes, not estimated ones.
Automate one queue end-to-end
One process, fully done, beats five processes half-done. We pick the queue with the clearest rules and highest volume, ship the agent, and run it in parallel with the manual process for two weeks before cutover.
Instrument everything
Every agent action lands in a log with input, decision, and outcome. When something looks off, you can replay exactly what the agent saw. This is also what makes the audit conversation short.
Expand by evidence
After the first queue holds steady for a month, the throughput data tells us which process to take next. Roadmaps here are earned, not sold.
Why teams pick us for this
We run our own agents in production
NAIBA, our calling agent, and our meta agent are live products with uptime obligations. The lessons from operating them - fallbacks, guardrails, cost control - are baked into every client build.
ERP-literate automation
Most automation vendors stop at the API. We know what a posting period is, why a stock journal can't just be edited, and what happens downstream when an agent touches the ledger.
Humans stay in the loop by design
Every workflow ships with approval gates and a kill switch. Autonomy is dialed up over weeks as trust accumulates, not switched on day one.
Adjacent work we often pair with this
Before you email us
Pick the queue your team complains about most.
That's usually the right first automation. Send us a one-line description of it and we'll tell you in a day whether an agent can take it - and what it would need to touch.