AI automation that survives contact with production
AI Digital Hub builds the agents and automations that do your real work — then runs the infrastructure underneath them. TechOps, DevOps and NoOps from one team, so nothing gets thrown over a wall.
- Production in weeks, not quarters
- Fixed-price pilots
- 24x7 managed operations
- 4 weeks
- From kickoff to first automation in production
- 24x7
- Managed operations with a 15-minute P1 response
- 60-80%
- Manual touch time typically removed per workflow
- 100%
- Code and IP handed over — no lock-in
What we do
Two capabilities, one team
Most vendors sell you the model or the platform. The projects that actually reach production need both, owned by the same people.
AI & Automation
Design, build and run AI systems that do real work — agents, automations and the data platforms underneath them.
AI Automation & Agents
Agents that finish the work, not just draft it
- Process-first, not model-first
- Human review where mistakes are expensive
- Live in weeks, measured from day one
Custom AI Development
RAG, copilots and AI products built to hold up
- Retrieval that returns the right passage, measured
- Guardrails, audit trails and PII handling built in
- Ships as a maintainable codebase you own
AI Strategy & Readiness
A costed plan, ranked by return — not a slide deck
- Ranked backlog, not a maturity model
- Honest build-versus-buy recommendations
- Two weeks, fixed price
Data & AI Engineering
The pipelines and platforms AI actually depends on
- Batch and streaming pipelines with real tests
- Vector and relational stores designed together
- Lineage and quality gates, not hope
MLOps & LLMOps
Keep AI systems accurate, cheap and accountable in production
- Evals in CI, not vibes in a meeting
- Token and latency budgets per feature
- Full request tracing and audit trail
AI Governance
Ship AI your risk function will actually approve
- DPDP Act 2023 and GDPR by design
- Audit trails, not after-the-fact assertions
- Model risk documentation your auditors accept
Infrastructure & Ops
Build, maintain and migrate the infrastructure that AI runs on. TechOps, DevOps and fully-managed NoOps.
DevOps & Platform
Ship weekly without hiring a platform team
- Deploys measured in minutes, not evenings
- Every environment reproducible from code
- Rollback that has actually been tested
NoOps (Fully Managed)
Your developers push code. Everything after that is ours.
- 24x7 monitoring with 15-minute P1 response
- Patching, scaling and DR handled
- One monthly report, no surprises
TechOps
The day-to-day technology operations nobody owns
- One accountable owner for internal systems
- Access reviews that actually happen
- SaaS sprawl and spend under control
Cloud Migration
Move without a weekend everyone remembers for the wrong reasons
- Wave-based cutover with rollback at each step
- Cost modelled before you move, not after
- Zero or near-zero downtime for critical paths
Infrastructure Management
Build it right, then keep it that way
- Landing zones built with guardrails from day one
- Patching and upgrades on a schedule, not a crisis
- Backups tested quarterly with a written result
DevSecOps
Security in the pipeline, not in a quarterly report
- Scanning that blocks merges, not dashboards nobody opens
- Secrets out of code and out of history
- Audit evidence produced automatically
Where teams start
The automations that pay for themselves first
Narrow and deep beats broad and shallow. These are the workflows where we most often see a return inside a quarter.
Support Automation
Agents that resolve tickets, not summarise them
See how it worksDocument Processing
Turn unstructured paperwork into validated records
See how it worksSales & RevOps
Clean pipeline data and follow-ups that actually happen
See how it worksBack-Office Automation
The reconciliations and handoffs nobody wants to own
See how it worksLegacy Modernisation
Change the engine without stopping the car
See how it worksData Platform
One version of the numbers, tested and trusted
See how it worksHow we work
Narrow scope, measured accuracy, real handover
The pattern that fails is a pilot that handles the happy path and impresses a steering committee. The pattern that works is one workflow, fully automated, including the awkward cases.
- 1
Find the one process worth automating
Week 1We sit with the people doing the work, not the process document. Then we rank candidates by return per unit of effort and tell you which to leave alone.
- 2
Build it with evaluation from the first commit
Weeks 2-3A labelled test set exists before the agent does, so accuracy is a number rather than an impression — and your team can keep improving it after we leave.
- 3
Ship behind a guardrail
Week 4Live traffic with confidence thresholds routing uncertain cases to a human queue. Autonomy increases only as the accuracy data earns it.
- 4
Run it, or hand it over properly
OngoingWe operate it under a managed retainer, or your team takes it with documentation, runbooks and training. What we will not do is leave it unowned in production.
Commercials
Three ways to work with us
Fixed price where the scope is clear, a retainer where something needs running, a pod where the roadmap keeps going.
Fixed-scope project
A defined outcome, a fixed price and a date. Best for audits, pilots and single-workflow automations.
Best for: Clear problem, known scope
Managed retainer
A monthly subscription covering operations, on-call and continuous improvement of what we built.
Best for: Running systems in production
Dedicated pod
An embedded squad — AI engineer, platform engineer and a lead — working as part of your team.
Best for: Ongoing roadmap, multiple workstreams
- ₹1.5L
- Fixed-price readiness audit
- ₹4.5L
- One workflow live in 4 weeks
- ₹80k/mo
- Managed DevOps from
- 15 min
- P1 response on NoOps
Credited against a build within 90 days
Automation Sprint, fixed scope
Business-hours support, IaC ownership
24x7, SLA-backed
Proof
Work we can talk about
Named clients where we have permission, anonymised where we do not. The numbers are the ones the client reports, not our estimates.
D2C retail brand
Surviving a sale day at 9x normal traffic
After a checkout outage during the previous festive sale, a growing D2C brand needed infrastructure that would hold at nine times normal traffic — and a support team that would not drown in order-status tickets.
- 99.99%
- Checkout availability through the sale
- 9.2x
- Peak traffic versus baseline
- 65%
- Support tickets auto-resolved
B2B SaaS platform
Shipping a stalled AI feature in nine weeks
A Series-B SaaS company had an AI summarisation feature that demoed well for seven months but could not ship — nobody could state its accuracy, its cost per user, or what happened when the model provider had an outage.
- 9 weeks
- Prototype to general availability
- 47%
- Inference cost reduction
- 0
- Provider outages visible to customers
Bengaluru-based NBFC
Cutting loan onboarding from 6 days to under 8 hours
A mid-sized lender was losing qualified applicants during a six-day KYC and document verification cycle, with three analysts re-keying data from PDFs into the loan origination system.
- 6 days → 8 hrs
- Median onboarding time
- 91%
- Applications processed without manual entry
- 2.4x
- Applications handled per analyst
Before you commit
Work out the numbers yourself
Two free tools, no call required. Both give you something you can take to a budget conversation.
AI Readiness Assessment
Twelve questions on your processes, data and team. You get a score, the three automations worth doing first, and what has to be true before they work.
Start the assessmentAutomation ROI Calculator
Put in team size, hours lost to manual work and salary band. See projected annual savings, payback period and the honest caveats.
Open the calculatorFAQ
Questions we get asked
Let's find out what is actually automatable
Bring a process that annoys you. In 30 minutes we will tell you whether AI helps, what it would cost, and where it would fail — even if the answer is don't bother.
Or email [email protected] · we reply within 1 business day