Strategy that ships. Engagements that compound.
We keep advisory and engineering in the same team, so the strategy you sign off is the system you get. Choose a starting point. Each engagement is designed to lead naturally into the next.
Four ways to work with us.
Clear scope, clear outcomes, and senior people on every engagement.
AI Readiness Sprint
2 weeks
A ranked portfolio of AI use cases with a business case, target architecture and risk view your board can act on.
Executive & process-owner workshops
Data and systems readiness review
Use-case scoring & ROI model
90-day roadmap
Agent Pilot to Production
6–10 weeks
One high-value agent or automation live with real users, evaluation gates, monitoring and a scale-up plan.
Workflow discovery
Agent / automation build
Evals, guardrails & red-teaming
Production release & handover
Forward Deployed Pod
12-week cycles
An embedded team accountable for shipping AI across a business unit, cycle after cycle, then transferring ownership.
Lead FDE + AI engineers
Product strategist
Weekly releases & demos
Build-operate-transfer
Managed AgentOps
Ongoing
Your agents and AI workflows monitored, evaluated, cost-optimised and improved under clear SLOs.
24×7 monitoring & incident response
Quality & drift evaluation
Model upgrades & cost tuning
Monthly value reporting
Senior counsel for high-stakes technology decisions.
Our principals have led architecture and delivery for complex enterprise estates. They advise with the benefit of building, not only theory.
AI strategy & portfolio
Where AI creates measurable value in your business, how to sequence it, and what to stop doing.
Enterprise & AI architecture
Target architectures for agents, data and platforms that avoid lock-in and scale securely.
Technical due diligence
Independent assessment of AI products, vendors, codebases and teams for investors and acquirers.
Operating model & talent
AI centres of excellence, team topologies, roles and upskilling for the agentic era.
Value realisation
KPIs, baselines and benefits tracking that tie AI investment to P&L outcomes.
Executive briefings
Board and leadership sessions on agentic AI, regulation and competitive moves.
Working with Vidura.
Readiness Sprints and Pilots are usually fixed-scope, fixed-fee with clear deliverables. Forward deployed pods and Managed AgentOps are priced per cycle or per month. We are open to outcome-linked commercial models where the metric is clear.
An executive sponsor, a process owner for the target workflow, access to sample data and the relevant systems in a safe environment, and time from a few end users. We handle the rest.
Srishti (design) is the Readiness Sprint and architecture work, Sthithi (build) is the Pilot and FDE pods, and Laya (operate) is Managed AgentOps and capability transfer. Most clients move through all three.
Have a workflow AI should be running? Let's map it together.
Book a 45-minute strategy session with a Vidura principal. You'll leave with a shortlist of high-ROI AI use cases, the risks to manage, and a realistic path to production.