Fixed-price engagements. Real outcomes.
Step by step: from readiness assessment to production AI running live. Each engagement is priced, scoped, and delivered.
Service Model
Every engagement starts with the audit.
No hourly billing. Fixed scope, fixed price. Start with a 2–3 week audit that gives you a roadmap, then move up the ladder at your pace.
The Engagement Ladder
AI-Readiness Audit
Timeline
2–3 weeks
Pricing
Starting at ₹2–4L / $2.5K–5K
Assess your data governance, compliance posture, and AI readiness. Walk out with a report, risk map, and prioritized roadmap.
Deliverables
- →Data inventory & quality audit
- →Governance & compliance gap analysis
- →AI readiness scorecard
- →Risk & prioritized roadmap
- →Stakeholder workshop
Who this is for
Good for: New to data governance. Compliance teams. Boards asking 'are we ready for AI?'
What happens next
Book a 30-min scoping call. We'll ask about your systems, compliance requirements, and scope the audit.
Data Foundation Sprint
Timeline
8–12 weeks
Pricing
Starting at ₹10–20L / $12K–25K
Build a governed data foundation. Reconciliation, reporting pipelines, customer-360 with lineage. Production-ready from day one.
Deliverables
- →Cloud data warehouse setup
- →ETL/ELT pipelines (core systems)
- →Data quality & lineage
- →Governance layer (roles, policies)
- →Handoff & team training
Who this is for
Good for: Reconciliation chaos. Regulatory reporting pain. Ready to build on a clean base.
What happens next
We scope the 'core systems' together. Then sprint: design → build → test → handoff.
AI System Build
Timeline
Varies (by scope)
Pricing
Per outcome, fixed (typically ₹5–15L / $6K–18K per capability)
Production AI built on your governed foundation. RAG systems, agents, classifiers — priced per capability, not hours.
Deliverables
- →Requirement-to-architecture design
- →Data pipelines for model training
- →Model development & evaluation
- →API & production deployment
- →Monitoring & feedback loops
Who this is for
Good for: POC ready to scale. Specific AI use case (lending, operations, customer service).
What happens next
We define the capability. You agree on the price. We deliver to your acceptance criteria.
Managed AI-Ops
Timeline
Ongoing
Pricing
Starting at ₹1.5L / $2K per month
We run it. Monitor, retrain, improve. Keep AI performance in bounds. You focus on business.
Deliverables
- →Model monitoring & alerting
- →Monthly performance reports
- →Data drift detection & retraining
- →Performance optimization
- →Incident response
Who this is for
Good for: Production AI systems. Need operational bandwidth but not headcount.
What happens next
We baseline your system. Then we're on retainer — you get monthly cadence, guaranteed SLAs.
Common Questions
Everything you need to know about how we work.