Enterprise AI decisions fail slowly and expensively when they are made from vendor decks. Redian Software runs AI/ML consulting as a small, senior engagement — CMMI Level 3 Appraised, ISO 27001 and 9001 certified, backed by nine years and 200+ enterprises of production BFSI, insurance and enterprise-operations delivery. We tell you what to build, what to buy, and what to leave alone — with a working prototype, not a slide pack.
What we deliver
- Opportunity assessment — a structured scan of the business, ranked by expected value, feasibility and regulator posture.
- Data readiness review — the state of your data (governance, quality, access, provenance), and the shortest credible path to production ML.
- Build vs buy vs hybrid recommendation — self-hosted, API-based, or fine-tuned model, with total cost, risk and dependency mapped out.
- Reference architecture — model serving, MLOps, evaluation, retraining, and integration patterns aligned to your existing platforms.
- Regulatory and model-risk framework — explainability, bias testing, human-in-the-loop policy, audit trail and documentation standards for RBI, SEBI, IRDAI, FCA, CBK, NAICOM and equivalents.
- Working prototype — one high-value use case taken to a defensible evaluation on your real data, not a marketing demo.
- Roadmap and business case — sequenced, budgeted and stress-tested with your finance function.
Who we build this for
- Bank and insurance CIOs and CDOs deciding where to place AI investment across the next two years
- Boards and audit committees wanting an independent read on model risk and vendor lock-in
- Product teams evaluating a GenAI feature bet against a real cost-benefit profile
- COOs weighing document AI and workflow automation against BPO renewal
- Firms with a stalled AI programme who need a rescue plan grounded in engineering reality
Our approach
Discovery — leadership interviews, workflow shadowing, data and system inventory, regulator scan. Ideation and scoring — a shortlist of opportunities scored on value, feasibility, risk and adoption cost. Prototype — a working evaluation on real data (in a secure enclave) for the top-ranked use case, with independent benchmarks. Roadmap — sequenced two-year plan with build, buy or hybrid calls, integration architecture and named risks. Handover and mobilisation — either handed to your team to execute, or mobilised as a Redian AI/ML development programme. All commitments captured in writing at the end of Discovery. Phased rollouts almost always beat big-bang.
Why Redian for AI/ML consulting
- Senior engineers only — heads of AI, principal data scientists and domain-embedded architects lead the work.
- CMMI Level 3 Appraised, ISO 27001 and 9001 — governed process with artefacts that survive audit.
- BFSI and insurance depth — nine years of production ML in RBI, SEBI, IRDAI, CBK, CBUAE, FCA and NAICOM-supervised environments.
- Model-neutral — we recommend the tooling that fits, not the vendor with the biggest quota.
- Multi-region delivery — Noida, Nairobi, Dubai, London and New York.
- Roadmap to run — you can execute the plan with your team or move it into Redian delivery without a re-bid.
Where we have delivered
AI/ML consulting engagements across India, Kenya, UAE, UK, USA, Canada and Australia, with focused programmes in Nigeria, Tanzania, Uganda, Ghana, Rwanda, Ethiopia, South Africa and Saudi Arabia. Reference deliveries include pricing ML for an African motor insurance aggregator.
Working with Redian
Tell us where you think AI belongs in your business and where you are unsure. A senior consultant responds inside one business day with a written first read and a scoping proposal. NDAs signed on request before the first detailed conversation. Start at /contact, and see our AI/ML expertise for the technical footprint behind the advice.
