Applied AI consultancy
Stop piloting.
Start compounding.
Typical engagement: 3–10 weeks · Founder-led · Systems your team runs without us
Northbeam Consultancy is an India-based applied AI consultancy. We pick one job that already hurts, build a production AI system an operator will trust, and leave it with an owner. AI strategy and implementation in India, AI agents and RAG implementation, and AI governance under the DPDP Act—without the theater.
- AI strategy in India
- Rank the workflows that actually pay and kill the ones that won’t
- AI agents & RAG
- Agents and RAG that run inside your CRM/ERP — not in a demo
- DPDP governance
- Compliance, risk audits and training so the system stays safe after we leave
Services
What we actually do
AI strategy, agents and RAG, governance and DPDP compliance. Each named in three jobs you can hold us to. We are not a use-case factory.
01
AI Strategy & Auditing
- Use-Case MappingIdentify high-ROI workflows ready for AI automation.
- Data ReadinessEvaluate if internal data is clean and structured.
- Feasibility StudiesBuild cost-benefit models before clients invest in development.
02
Custom AI Implementation
- AI Agent DevelopmentBuild autonomous bots to automate complex business tasks.
- Internal Knowledge RAGConnect secure LLMs to private company data repositories.
- System IntegrationInject AI capabilities directly into existing CRMs and ERPs.
03
Governance & Training
- Compliance ManagementAlign AI systems with data laws like GDPR or HIPAA.
- Risk & Bias AuditsTest models for data leaks, hallucinations, and bias.
- Staff UpskillingTrain employees on prompt engineering and safe AI usage.
About
A consultancy for companies that need AI to ship.
Northbeam is not a lab and not a slide factory. We work with operators at mid-market Indian companies who already feel the cost of manual work, brittle tools, or a stalled AI program—and want a partner who will stay through production.
Engagements are scoped, senior, and finite — typically 3–10 weeks. India-based, production-grade, founder-led throughout. We leave you with systems your team can run, not a dependency you cannot explain. When the data is personal, that includes AI governance under the DPDP Act.
See claims intake AI automation for insurance, or start with AI strategy and implementation in India.
- Operators first, models second
- Production over prototypes
- Judgment stays with your people
Fit
Who this is for
- Operators at mid-market Indian companies with one job that already hurts
- Teams who will name an owner and run the system after we leave
- Leadership that wants a production system in weeks, not a twelve-month transformation
Not a fit
Who this is not for
- Anyone shopping for a chatbot, a lab, or an “AI transformation” mural
- Organisations that need a hundred-person bench or an account-manager layer
- Work with no owner, no data, or no willingness to kill the ideas that won’t pay
Work
Selected engagements
Written with the constraint, the refusal, and what transferred to the client’s team—not a logo wall.
8-week engagement · Founder-led
Claims intake that does not stall at the inbox
62% less manual review
Claims intake AI automation for a mid-market insurance carrier: classification, extraction, and a human-in-the-loop queue. Wrong routing delayed a payout, so the model only routes what it can defend.
Read the engagement6-week engagement · Founder-led
A sales-ops agent for CRM hygiene
18 hours / week recovered
A CRM hygiene agent for B2B SaaS sales-ops: it reads Salesforce call notes, updates fields, and flags exceptions—built against real CRM rules, not a sandbox. Forecast category never went automatic; the agent does not invent a close date.
Read the engagementWhat the system does on a normal Tuesday
Six months after go-live, this production AI claims intake system runs without us. The ops lead changed a routing threshold herself—no ticket, no retainer.
Read the engagementQuestions operators actually ask
How an applied AI engagement works in India.
How long do engagements take?
Typical applied AI engagements run 3–10 weeks. Strategy and auditing is 3–4 weeks, custom implementation—AI agents, RAG, integrations—is 6–10, and governance and training is 4–6. We do not sell twelve-month “AI transformation” retainers. The work is finite: a named job, a named owner, and a last week.
What does a typical engagement cost?
Starting ranges live on the services pages, not here. Strategy, implementation, and governance are priced separately for mid-market Indian companies; exact fees sit in a statement of work. If the job is a chatbot for its own sake, we will say no before you spend.
Do you only work with large enterprises?
No. Mid-market is the core. We are an India-based applied AI consultancy: production-grade work, priced in rupees, for operators who already feel the cost of manual processes. Enterprises are welcome when the job is one system—not a transformation office. If you need a hundred-person bench, we are the wrong firm.
What’s the difference between a pilot and what you build?
A pilot is a demo on clean samples that dies when the consultant leaves. What we build is a production AI system: it runs in the tools operators already use, has an eval set of ugly cases, a human checkpoint, a kill switch, and an owner on a Friday night. We build production systems, not pilots. That is the whole practice.
Will you stay after go-live?
No. The point of the engagement is that your team can run the system without us. We leave a runbook, decision rights, training, and a named owner. If you want a short, scoped follow-up later, we can talk—but we do not nest on your org chart or sell a twelve-month retainer to keep the lights on.
Tell us the job that already hurts.
We’ll tell you honestly if we can help and what it would take.