AI consulting · implementation · deployment
AI, implemented where the work actually happens.
We build and deploy practical, agentic AI across healthcare, pharma, supply chain and finance — from the front desk to the genome to the trading floor.
What we do
Advice you can hold. Software you can run.
Three ways to engage — from an honest map of where AI pays off, to a deployed product that keeps working.
Advise
Use-case triage, feasibility and data-readiness — an honest map of where AI pays off in your operation, and where it doesn’t. If AI isn’t the right tool for the problem, we say so before you spend.
- AI opportunity assessment
- Feasibility & data readiness
- Roadmaps scoped to budget
Build
We design and build working, product-grade AI around your actual workflow — diagnostic support, voice agents, decision support — scoped to the budget and constraints you really have. Not a proof of concept.
- Custom AI products
- Voice & conversational agents
- Decision support & automation
Run
We put the product into the ward, the control tower, the close — wherever your work lives — then stay to tune accuracy, trust and adoption long after a demo would have ended.
- Deployment into live workflows
- Accuracy & adoption tuning
- Ongoing field support
Engagement packages
Start small. Scale on proof.
Four concrete ways to engage — from a two-week readiness assessment to AI we run for you in production.
AI Readiness Assessment
2 weeks · fixed scope
Leaders who suspect AI could help but want an honest map before spending.
Details 02Pilot Sprint
4–6 weeks
Teams with one obvious bottleneck who want proof before committing.
Details 03Full Implementation
Scoped per engagement
Organisations ready to put AI into daily operation.
Details 04Managed AI
Ongoing
Teams who want the system to keep earning trust without hiring an AI department.
DetailsAgentic engineering
Agents that don’t just answer. They act.
Tool-using agents, multi-agent orchestration and human-in-the-loop flows — engineered with guardrails, evals and audit trails.
Inside our agentic engineering- i Tool-using agents through governed APIs
- ii Planner–worker–reviewer orchestration
- iii Guardrails, evals & audit trails by default
- iv Private cloud, on-premise or hybrid
Products — proof of method
Born in the hardest domain. Shipped for real.
Built and deployed in healthcare — the most demanding proving ground we could pick. The same method now serves four industries.
AI Diagnosis Clinic
A complete diagnostic-support assistant, sized and priced for small-scale facilities. AvailableSmall facilities 02AI Clinical Rounding
Keeps ward rounds on track — context, notes and follow-ups, captured bed to bed. AvailableInpatient wards 03AI Voice Agents
Voice agents that handle the phones for clinics, and capture what matters in meetings. AvailableDesks & meetings 04HealthSathi
A family’s health companion — records, reminders and answers, all in one place. AvailableFamilies 05Genomics & Hereditary Risk
The same practical lens applied to genetics and hereditary risk. In developmentHereditary riskCase studies
Implementation, with receipts.
What an engagement actually changes — context, problem, build, and the numbers it moved.
A busy clinic took its front desk off hold.
Scheduling, rescheduling and status calls are answered and completed by the agent — day and night.
An inpatient unit stopped losing its rounds to the keyboard.
Notes and decisions are recorded at the bedside, structured for the record — not retyped after hours.
A distributor saw the stockout before it happened.
Risk is flagged before the shelf goes empty, with proposed orders ready for sign-off.
Flagship — healthcare
The clinic solution, for the places big systems overlook.
AI Diagnosis Clinic brings diagnostic support to the actual point of care — designed for the budgets and workflows small facilities really have.
See the clinic solution- i Diagnostic support at the point of care
- ii Sized and priced for small-scale facilities
- iii Deploys into the workflow a clinic already has
- iv A real product in the room — not a pilot
Industries
Four industries. One discipline.
Born in healthcare, proven under regulation — the same engineering serves every domain we work in.
Healthcare
Diagnosis, rounding, voice and family care — for clinics and families, not just large systems.
Deepest track record 02Pharma
AI applied to research signals, documentation and operational load.
03Supply Chain
Forecasting, visibility and exception-handling for critical flows.
04Finance
Decision support and automation for analysis-heavy, audited work.
Why we build this way
We learned our discipline where the stakes are highest — care — and we hold every industry to it. No demos. AI that runs where the work happens, and stays working.
See how we work →Questions, answered
The things people actually ask us.
What does Rajipo Consulting Group do?
Rajipo Consulting Group is an AI consulting and engineering company operating since 2018. We build agentic AI across healthcare, pharma, supply chain and finance. Our shipped products were born in healthcare — the hardest proving ground — and the same discipline now serves all four industries.
Do you offer consulting services, or only products?
Both. Engagements usually start with advisory — an honest map of where AI pays off in your operation — and can continue through building custom product-grade AI and running it in the field. Our five products exist because that loop keeps producing them.
Do you only work in healthcare?
No. Healthcare is where our products were born — the most demanding proving ground we could pick. Pharma, supply chain and finance engagements get the same regulated-environment discipline: guardrails, audit trails, human gates and deployment that sticks.
Which industries does Rajipo serve?
Four, on equal footing: healthcare, pharma, supply chain and finance. Healthcare is our deepest track record; every industry gets the same discipline — domain depth, regulated-environment rigor, and AI that actually ships.
What makes Rajipo different from other AI vendors?
Most AI vendors stop at the pilot. We start with the workflow rather than the model, build products scoped to real budgets, deploy them where the work happens, and stay to tune them long after a demo would have ended.
What is agentic AI, and do you build it?
Agentic AI means systems that don’t just answer — they act: booking, filing, routing and checking their own work through tools and policies. It’s the core of our engineering practice: tool-using agents, multi-agent orchestration and human-in-the-loop flows, always with guardrails, audit trails and evals.
How does an AI implementation actually get deployed?
In four stages: discovery and data readiness (typically weeks 0–2), build and integration with the systems you already run — EHR, phones, calendars — (weeks 2–6), a live pilot where the work happens (weeks 6–8), then ongoing operation and tuning. We stay past launch to keep accuracy and adoption up.
Can you deploy AI privately, for sensitive health data?
Yes. We deploy to cloud, on-premise or hybrid environments depending on your constraints, with HIPAA-aware data handling, role-based access and clear audit records. Your data is never used to train outside models without a written agreement.
How do we start a project with Rajipo?
Tell us the problem — a clinic that needs diagnostic support, a team buried in calls, an operation that needs forecasting. We’ll tell you, honestly, whether AI is the right tool and which product fits. Start with the contact page or email hello@rajipo.com.