AI Strategy & Consulting
Practical help for teams putting AI to work: short, focused audits that find the real problems, automation and integration built into the systems you already run, a safe path to modernize legacy code, and senior technical guidance without a full-time hire.
Advice you can act on, and hands to help act on it
Most teams do not need a grand AI transformation plan. They need a clear read on what is slow, what is fragile, and where AI actually pays off, followed by someone who can build the fix into the systems they already run. This pillar is that: audits measured in days not months, automation and integration work that respects the existing stack, a modernization path that does not bet the business on a rewrite, and senior guidance on tap. Each item below is a standalone engagement or a stage in a longer relationship.
Seven ways we help teams adopt AI
How we deliver
- 1
Discovery & Scoping
We start by understanding the actual problem and your existing systems, not just the brief.
- 2
Architecture & Plan
We map the technical approach and integration points before any code gets written.
- 3
Build
AI-augmented development that moves fast without skipping review.
- 4
Test & Launch
Real testing against real scenarios before it touches a live user.
- 5
Tune & Support
We monitor and refine in the weeks after launch. This isn't a handoff and disappear.
Traditional consulting vs. AI-augmented consulting
A discovery phase runs for weeks before anyone sees a finding
A focused audit returns prioritized findings in days, checked by a senior engineer
The deliverable is a slide deck and a bill, with implementation left to you
Findings come with the option to build the fixes into your systems
Modernization means a risky rewrite that freezes new work for months
New capability is built alongside the legacy system and rolled out in stages
Cloud and AI spend is reviewed once a year, if at all
A short audit finds over-provisioned resources and wasteful token usage now
AI adoption stalls because the team was handed tools with no training
The team is trained on the specific tools and workflows they will actually use
Where pricing starts
Baselines. Audits are fixed-price; implementation and retainers are scoped separately. Prices shown in INR and USD.
AI-First Architecture Audit
A focused review of your architecture and AI readiness.
Infra Optimization
Cut infrastructure cost and latency across your stack.
Fractional AI CTO
Senior AI technical leadership on a monthly retainer.
AI strategy and consulting questions
Yes. A lot of the value is deciding what not to build. An architecture or infrastructure audit works whether or not AI is already in your stack, and often the first recommendation is to fix the foundations before adding anything.
Start with an audit
Tell us what feels slow, fragile, or expensive, and which systems it involves. We will come back with a fixed-price audit scope and a timeline in days, and a clear view of what implementation would look like after.