AI Implementation
Take prioritized use cases from PoC to production.
Binary engineers and partners build the highest-priority AI use cases on your runtime of choice — Azure AI Foundry, AWS Bedrock, Vertex, OpenAI Enterprise or private OSS — with security, governance and adoption built in from day one.
For CIO · CTO · Chief AI Officer · Function Heads
90–180d
Per-use-case time to value
Fixed
Price per use case in ₹
8
Runtimes / deployment patterns
1
Accountable partner end-to-end
What you receive
Deliverables
- Statement of Work per use case with fixed scope, timeline and price in ₹.
- Solution architecture, RAG blueprint, model selection and runtime sizing.
- Build, integration, security review, UAT, hypercare and go-live.
- Reference implementations for Customer Support Agent, Sales Copilot, Knowledge Copilot, Demand Forecast and more.
- Change management & adoption plan with department-level training.
- Hand-over to your team or transition to Binary Managed Services.
Why it pays
Business outcomes
- Realize quantified ROI in 90–180 days per use case, not 18 months.
- Avoid the typical 40–60% pilot-to-production failure rate.
- Build internal capability while shipping production AI in parallel.
- Defensible, audit-friendly delivery from a single accountable partner.
How we deliver
Engagement timeline
1
Week 1–2
Discovery
Use case refinement, data review, success criteria, fixed-price SoW.
2
Week 3–8
Design & Build
Architecture, RAG, model selection, integration, security review.
3
Week 9–12
Pilot & UAT
Controlled rollout, measurement, tuning, business sign-off.
4
Week 13+
Go-Live
Production rollout, hypercare, value tracking, hand-over.