A chatbot answers questions. An agent gets work done: it reads the request, plans the steps, uses your systems to carry them out and checks its own result — and it asks before doing anything it should not do alone.
We design, build and run AI agents for the work that sits between your systems: the ticket that needs looking up in three places, the invoice that has to be matched to a purchase order and a delivery note, the customer case that needs a record updated and a reply drafted. Agents reason over the request, choose the right tools, act through your applications and report back with what they did and why.
Every agent we build runs with bounded autonomy. It works through approved connectors — Model Context Protocol (MCP) servers and APIs — with only the permissions its job needs. Spending and action limits, data masking and policy checks are enforced outside the model, and anything high-risk stops at a human approval step. Every step is traced, so you can see exactly what an agent saw, decided and did.
We start with one workflow, measure it against how the work is done today, and prove it on real cases in an evaluation suite before it touches production. Then we scale: more workflows, specialist agents that hand work to each other, and an operating model your own team can run.
Find the workflows where agents pay off: frequent, rule-bound, spread across systems and measurable.
Define the tools, permissions, guardrails and the points where a person approves.
Build the agent and test it against real cases until it meets the bar agreed with you.
Go live with tracing, cost and quality dashboards, and tune from what the traces show.
Agents break a goal into steps, carry them out in order, recover from errors and confirm the result — not just a single answer to a single prompt.
Secure connectors to your CRM, ERP, ticketing, email, databases and internal APIs, built on Model Context Protocol so they work across models and frameworks.
Specialist agents — researcher, drafter, checker — that pass work between them, with a supervisor that keeps the run on track.
Retrieval over your policies, documents and records, so agents act on your facts and cite where each one came from.
Clear thresholds for what an agent may do alone and what needs sign-off, with approvals in the tools your people already use.
Least-privilege access, PII masking, action and spend limits, and policy checks enforced outside the model, where a prompt cannot talk its way past them.
Every run traced step by step: inputs, reasoning, tool calls, outputs, cost and latency — searchable, and kept as an audit trail.
Test suites built from your real cases, run before every change, so a new prompt or model never quietly makes an agent worse.
Agents remember the case history and earlier steps, so a long-running task can pause for an approval and pick up exactly where it left off.
The right model for each step, caching and budgets per workflow, so running costs are predictable and visible.
Deployed in your cloud or ours, with data kept in your region and never used to train public models.
Integrates with Microsoft 365, Google Workspace, Salesforce, SAP, ServiceNow and your own applications.
Most engagements start from one of our ready-made agents rather than a blank page. Each one comes with its workflow, tool connectors, guardrails and evaluation cases already built, and is configured to your systems, rules and languages in weeks rather than months.
Citizen-service agent that answers queries in English, Hindi and Telugu, registers requests and grievances, and tracks each one to closure across departments.
Ready to deployMoves files through approval chains, flags delays against service timelines, and drafts notes and replies for officers to review and sign.
Ready to deployReconciles bank statements, ledgers and payment files, explains every break it finds, and proposes the correcting entry for approval.
Ready to deployChecks onboarding documents, screens customers against sanctions and PEP lists, and prepares a complete case file for the compliance officer.
Ready to deployBooks and reschedules appointments, prepares a patient summary before each visit, and follows up on missed check-ups and test results.
Ready to deployAssembles insurance pre-authorisations and claims, checks them against policy rules, and chases missing documents before submission.
Ready to deployWatches machine alerts and maintenance history, works out the likely cause, and raises a work order with the parts and repair steps attached.
Ready to deployTracks open purchase orders, chases suppliers for confirmations, and warns planners about late materials before they stop the line.
Ready to deployForecasts stock-outs by store and product, drafts replenishment orders, and flags slow movers for markdown.
Ready to deployHandles order-status, return and refund requests end to end across chat, email and WhatsApp, and updates the order system as it goes.
Ready to deployAnswers admission and fee queries, tracks applications, and reminds students and parents about deadlines and missing documents.
Ready to deployRe-plans deliveries around delays, sends customers new arrival times, and logs every exception for the operations team.
Ready to deployResolves routine IT tickets — password resets, access requests, software installs — and escalates the rest with diagnostics attached.
Ready to deployReads invoices, matches them to purchase orders and goods receipts, and routes only the exceptions to finance for approval.
Ready to deployScreens applications against the role, schedules interviews, and runs the onboarding checklist for every new joiner.
Ready to deployReviews contracts against your legal playbook, highlights risky clauses, and suggests your approved fallback wording.
Ready to deployThe measure of an agent is not how much it can do on its own. It is how reliably it does its part, and how cleanly it hands the rest to a person.
