Your team stops doing the busywork. The agents do.
ajan.ai builds AI agents that work inside the tools you already run. They read tickets, update records, chase approvals, and escalate to a human the moment judgment is needed.
A 30-minute call. We'll map one workflow end to end.
Built for the systems your operations already run on
- Salesforce
- Zendesk
- NetSuite
- Slack
- Snowflake
- SAP
Integration targets. See the docs for the full connector list.
Agents that actually finish the work
Most AI tools summarise and suggest. Ours take the actions, inside your systems, with a record of everything they touched.
Acts across your stack
Agents read and write in your CRM, ticketing, ERP, and data warehouse through authenticated connectors, not by pasting text between tabs.
Knows when to stop
You set the boundaries: spend limits, approval gates, and confidence thresholds. Anything outside them routes to a named human with full context attached.
Auditable by default
Every action an agent takes is logged with its inputs, reasoning, and result. Export the trail for compliance, or replay a run to see exactly what happened.
Deploys in weeks, not quarters
Start with one workflow, measured against how your team runs it today. Expand once it holds up. No platform migration required.
From one workflow to production
We start narrow and prove it works before anything touches your live systems.
- 01
Connect
We link the agent to the systems the workflow already touches, using scoped, read-only credentials to begin. Nothing is written until you say so.
- 02
Configure
We encode the rules your team follows: the edge cases, the escalation paths, the things that are obvious to your staff and invisible in the documentation.
- 03
Deploy
The agent runs alongside your team in shadow mode first, then takes the queue once its output matches theirs. You keep the kill switch.
Where teams start
The best first workflow is high-volume, rule-heavy, and unloved. These usually qualify.
Customer support
Tier-1 resolution and triage
Agents read the ticket, pull the customer's history and order state, resolve what's routine, and hand the rest to an agent with the diagnosis already written.
- Refunds and order changes within policy
- Account and billing lookups
- Routing with full context attached
Operations
Back-office processing
The steps between two systems that nobody wants to own: reconciling records, chasing missing fields, moving a case forward when a document finally lands.
- Order and vendor data reconciliation
- Exception queues and follow-ups
- Status updates across systems
Finance
Invoice and approval flows
Agents match invoices to purchase orders, flag what doesn't line up, and route approvals to the right owner, with the discrepancy spelled out.
- Three-way matching
- Approval routing and reminders
- Anomaly flagging for review
The workflows differ. The shape of the problem doesn't.
High volume, rule-heavy, spread across systems that were never meant to talk to each other, and expensive when it goes wrong.
Financial services
Reconciliation, KYC refresh, dispute handling.
Insurance
Claims intake, coverage checks, renewals.
Healthcare
Prior authorisation, eligibility, records requests.
Logistics & supply chain
Exception queues, carrier updates, proof of delivery.
Retail & e-commerce
Order changes, refunds, supplier data.
Manufacturing
Vendor onboarding, quality exceptions, maintenance scheduling.
Telecom & utilities
Provisioning, billing disputes, service escalations.
Professional services
Client intake, timesheets, invoice preparation.
Our engineers sit with your team, not behind a ticket queue
Every deployment is led by a forward deployed engineer who learns the workflow first-hand, on your systems, beside the people who run it today.
We start where the work happens
The first days are spent in the queue with your team, watching the exceptions, workarounds and judgment calls that never make it into the documentation.
We build against your systems
Agents are wired into your live stack early, on scoped read-only credentials, so what we build is shaped by real data rather than a sandbox that flatters it.
We stay through rollout
The engineer who built the workflow is still there when it takes real volume, when the first awkward edge case lands, and when your team wants a rule changed.
We leave something you can run
Rules, escalation paths and audit trails live somewhere your team can read and change them. No dependency on us to adjust a threshold.
Show us a workflow. We'll show you the agent.
Tell us what your team does manually today. On the call we'll map one workflow end to end and be straight with you about whether it's a fit.
- 30 minutes, no slide deck
- A real workflow, mapped on the call
- An honest answer on feasibility