AI agents for the work your team still does by hand
Agents that read invoices, answer tickets, qualify leads and book appointments inside the tools you already use - and pass anything they are unsure about to a person.
Six jobs an agent can take on
Each one reads, decides and acts inside the tools your team already uses, and asks a person when it is not sure.
Qualify every lead the minute it messages
An agent answers enquiries on WhatsApp in the customer's language, asks the questions your best salesperson would, and books the visit, day or night.
- Replies in seconds, not hours
- Scores budget, intent and timeline
- Books the slot and updates the CRM
Clear the queue before your team logs in
Every ticket is read, tagged and prioritised. Simple ones are answered from your docs; the rest arrive with a drafted reply and the facts already checked.
- Tags, priority and churn risk on every ticket
- Answers cite the source they came from
- Refunds and edge cases wait for a person
A phone line that never goes to voicemail
Voice agents pick up, understand Hindi and English, book or reschedule appointments against your real calendar, and send the confirmation.
- Natural Hindi, English and Hinglish
- Books against live availability
- Hands over to staff on request
Invoices in, entries posted, nobody typing
Agents read invoices, bills and forms in any layout, pull out every field with a confidence score, match them to purchase orders, and post them.
- GST invoices, bills, forms, statements
- Low-confidence fields go to review
- Posts to Tally, Zoho Books or your ERP
Every application read against the brief
Screening agents read every application against the actual brief, rank them with reasons you can check, and send interview invites to the shortlist.
- Ranks against your criteria, not keywords
- Every score comes with its reasons
- You approve the shortlist before invites go
Meetings that end with the work assigned
The agent joins the call, writes the summary, and turns what was agreed into tasks in the tools your team already uses, with owners and dates.
- Summary and decisions in minutes
- Tasks created with owner and due date
- Posted to Slack, Jira, Notion or HubSpot
Trusted one step at a time.
An agent earns its access. It starts watching, then suggesting, and only then acting - with you able to pull it back at any point.
- 01
Map the manual work
We sit with the team doing it and find the hours worth taking back.
Agent accessWatching - 02
Build on your real data
Scoped to the systems it needs, tested against last month's actual cases.
Agent accessRead-only - 03
Run it in shadow
It works beside your team and proposes; people decide. You see where it's right.
Agent accessSuggesting - 04
Let it act, within limits
It acts on its own inside the guardrails you set, and asks about everything else.
Agent accessActing
Where rule-based automation stops
- Breaks when a document layout changes
- Follows only the rules someone wrote
- Needs its own dashboard to watch
- Works inside one tool at a time
- Reads documents in any layout
- Handles cases the rules did not list
- Reports back in Slack, email or your CRM
- Works across several tools in one run
What an agent covers, and what you get
Workflow agents
Read, decide and act across the tools and data you already have.
Support agents
Answer from your help centre and docs, and route what they cannot.
Document processing
Invoices, forms and statements turned into checked, structured data.
What you get
- The agent, in production
- Integrations with your tools
- Approval limits and guardrails
- A log of every action
- Testing on your past cases
- Tuning and support after launch
Questions we get asked
Which AI models do you use?
Whichever fits the job - OpenAI, Claude, Gemini or an open model like Llama or Mistral. The agent is built so the model can be swapped without rebuilding it.
Is our data used to train the models?
No. We use model APIs that do not train on customer data by default, and sensitive fields can be masked before a model ever sees them.
What happens when the agent gets something wrong?
It starts by watching and suggesting, not acting. Every step is logged, and anything it is unsure about goes to a person instead of being guessed.
Does it work with the tools we already use?
Yes. It connects through their APIs - CRM, helpdesk, ERP, email, spreadsheets - and reports back into them, not into another dashboard.
How soon does an agent go live?
We scope one workflow first. The agent runs in watch mode on real work early on, and moves to acting only as fast as you are comfortable with.
How is it priced?
Tell us the workflow and we come back with scope, a timeline and a price for the first agent - not a discovery call first.
Have a workflow in mind?
Tell us the busywork your team keeps doing by hand - we come back with what a first agent would take off them.