Build your agentic workforce, role by role.
Build your agentic workforce, role by role.
Every agentic colleague runs on the same execution layer, with the same governance, audit trail, and human approval model. The first role proved that layer in production, and every role after is built on what it hardened.
The difference shows up in who is left holding the work.
Agentic colleagues are AI colleagues that own a role end to end. A tool waits to be operated. An assistant waits to be asked. A colleague holds the role and comes back to you with the decisions.
A role, hired as a colleague
It owns the outcome the role exists to produce. You hire the result rather than a licence.
Onboards to the systems you run
It plugs into your existing systems and gets to work, so your stack stays where it is.
Supervised, accountable, repeatable
Every action is traceable and governed, and anything needing judgment routes to a human.
One platform, a whole roster
One agentic workforce platform runs every colleague, so the next role is configuration rather than a fresh build.
Four capabilities, in every role.
The role changes. The anatomy stays the same.
It understands the domain
The rules, records, and obligations of the role are encoded into it before day one.
It reasons over your data
It reads the evidence you already keep, reconciles the records, and reaches a conclusion it can explain.
It takes action
Within the scope you set, it drafts, files, corrects, and routes. Work moves rather than queues.
It improves with every run
Every exception it meets sharpens the role. It gets better at the job the longer it holds it.
From role to live colleague in days.
Pick a role
Choose the colleague you want to hire. Start with Audit Narayan today.
Connect your systems
Link the tools and registers the role already runs on.
Set the guardrails
Define scope, thresholds, and who approves what. Your team keeps the authority.
Go live
Your colleague runs on its own each day, and brings only what needs your call to you.
Ready to see the platform run a real role in production?
One troop, hired role by role.
Audit Narayan is live. The roster grows as each role proves itself in production.
Audit Narayan, AI Compliance Officer
Indian labour compliance, starting with Code on Wages. Payroll, labour, vendor, and shops and establishments.
More AI Digital Employees, joining the roster.
New colleagues go live in the coming months as each role proves itself on real work. Each one lands ready to own the job, not to be evaluated.
Built for collaboration.
Your team keeps the judgment and the authority. Your agentic colleague carries the load.
Your team keeps the authority
- Approves decisionsFinal sign off stays with your people.
- Handles exceptionsEdge cases and judgment calls come to you.
- Sets the guardrailsPolicy, scope, and thresholds are yours.
- Owns governanceAccountable for outcomes and the audit.
Your colleague carries the load
- Monitors continuouslyWatches every connected system around the clock.
- Performs the reviewRuns the routine work at full coverage.
- Executes workflowsCompletes tasks end to end within its scope.
- Maintains the audit trailLogs every action for complete traceability.
Every colleague makes the next one stronger.
A new role is configuration, not a fresh build. The platform widens with every deployment.
Proprietary workflow data
Every run creates real world exception data no horizontal tool can buy.
Encoded domain depth
The rules, registers, and filing logic of the domain are built into the role before it starts work.
A roster that compounds
Each new colleague reuses the framework. The cost of the next role keeps falling.