AI & Data
AI that does the work,not just the demo.
Automation deployed into your actual systems, with the cost per run measured and the human kept in the loop where it matters.
Sound familiar?
- “Three people spend most of their day copying data between systems that don't talk to each other.”
- “Invoices, forms and emails arrive as PDFs and someone types them in by hand.”
- “You piloted an AI tool last year, it demoed beautifully, and it never reached production.”
If any of those land, this is the page for you. Here's how we approach it.
What you get
What ai automation actually changes.
Hours back, every week
The repetitive work that consumes your team's day handled automatically, with exceptions escalated rather than silently guessed at.
Fewer errors than manual entry
Extraction and validation applied consistently, with confidence thresholds that route uncertain cases to a person.
Runs against your real systems
Connected to your ERP, CRM, email and databases — not a standalone tool someone has to remember to open.
Costs you can predict
Token and API usage measured per workflow, so you know the cost per invoice before you scale it.
Humans stay in control
Approval steps where the decision matters, with a full record of what the system did and why.
Starts small, proves value
One workflow first, measured against the manual baseline, before you commit to a programme.
What's included
Everything in the engagement.
Document processing
Invoices, POs, forms and contracts extracted and validated.
Email triage
Classify, route, summarise and draft replies for review.
Data entry automation
Move data between systems without a human retyping it.
Approval workflows
Route by rules, escalate on exception, log every decision.
Report generation
Recurring reports assembled and distributed on schedule.
System integration
ERP, CRM, accounting, WhatsApp, email and databases.
Human-in-the-loop
Confidence thresholds that hand uncertain cases to a person.
Monitoring & cost control
Per-workflow success rates, latency and spend.
How we deliver
You'll know where it stands every week.
Discovery
1–2 weeksScope document, risk list and a fixed estimateDesign & architecture
2–3 weeksClickable prototype and system designBuild
6–16 weeksA working demo at the end of every sprintTest & harden
ContinuousAutomated test suite, UAT sign-off, security reviewLaunch
1 weekProduction deployment, monitoring and full handoverSupport
90 days includedSLA-backed fixes and a roadmap for what's nextTechnology
What we build it with.
- OpenAI
- Anthropic Claude
- LangChain
- Python
- n8n
- Node.js
- PostgreSQL
- AWS
We choose on fit, hiring pool, total cost and how easily you could leave — not on what we most enjoy writing.
Industries
Where we've done this.
- Finance & FintechKYC, lending and payments built to audit.
- HealthcareABDM-ready systems for hospitals, clinics and diagnostics.
- Logistics & Supply ChainEvery consignment traceable from pickup to POD.
- ManufacturingShop floor data in the same system as the ledger.
- Retail & E-commerceStock, storefront and marketplace in sync.
- Real EstateLead to site visit to booking, without a spreadsheet.
Engagement models
Pick the risk model that suits you.
Indicative starting points. We give a firm number after discovery — a fixed price quoted before we understand the scope is a number designed to be revised.
Fixed scope
₹8,00,000
starting from
A clear brief you want delivered to a firm budget
- Fixed price agreed after discovery
- Defined deliverables and milestones
- Change requests quoted separately
- 90 days post-launch support
Dedicated team
₹3,50,000 / month
starting from
Evolving requirements, or an in-house team that needs capacity
- Senior engineers embedded in your standups
- Scale the team up or down monthly
- You set the priorities each sprint
- Direct access — no account manager layer
Retainer
₹1,20,000 / month
starting from
Ongoing improvement, maintenance and support after launch
- Agreed monthly hours
- Guaranteed response times
- Monitoring, patching and dependency upgrades
- Quarterly roadmap review
With the highest-volume, lowest-judgement task you do — usually document processing or data entry between systems. Start with one workflow, measure it against the manual baseline, then expand. Programmes that begin with a strategy deck rarely reach production.
Not with the configurations we deploy. Enterprise API tiers from OpenAI, Anthropic and Google contractually exclude your data from training. Where that isn't sufficient — regulated data, or a client policy against any external processing — we run open-weight models in your own environment.
It depends on volume and model choice, but it's measurable and we instrument it from day one. A typical document-processing workflow costs a few rupees per document. We'll show you cost per run before you scale.
It will, occasionally — that's why confidence thresholds and human review exist. We design the failure path first: uncertain cases go to a person rather than through silently. Anything touching money or compliance keeps an approval step.
Traditional RPA follows fixed rules and breaks when a screen or format changes. AI-based automation handles variation — different invoice layouts, differently worded emails — which is where most real-world processes actually live.
Related services
Often needed alongside.
Start the conversation
Tell us what you need.
An engineer replies within 4 business hours — with questions, not a brochure.
NDA available before you share anything.