What does AI transformation involve?
It changes how work gets done, not just which tools you use. It typically means identifying where AI creates value, preparing data and systems, building agents and workflows into real processes, governing them, and measuring results. Stack18 covers the lifecycle from discovery to scale, so strategy and delivery stay connected.
How is Stack18 different from an AI consultancy?
Many consultancies focus on strategy and recommendations. Stack18 combines advice with delivery: the team that scopes the work builds it on the Agentic SDLC, uses pre-built solutions where they fit, and stays accountable through measurement. If you only need a prioritised plan, an AI Opportunity Sprint is a defined first step. For a side-by-side view of options, see our decision guide.
Can Stack18 work with our existing systems?
Yes. New AI capabilities are designed to work with your existing applications, data and infrastructure, and legacy systems are modernised where they limit adoption. Nothing needs replacing by default. Integration scope is defined during discovery.
How does Agentic SDLC support the programme?
The Agentic SDLC carries software work from discovery to operation using ten specialised AI agents, with people approving requirements, architecture, releases and production changes at governance gates. It also gives leadership one view of progress, approvals and the audit trail across the programme.
How are security and AI governance addressed?
Controls are designed in from the start: access aligned to your policies, human approvals, evaluation and monitoring, and traceability. The team can work inside your cloud, repositories, identity and tools, under your security policies and audit requirements. See Security & AI governance for detail. Specific terms are set in your agreement.
How do we begin with a focused use case?
Start with an AI Opportunity Sprint (typically 2–3 weeks, fixed price) to prioritise use cases, or go straight to an Agent Pilot to Production (typically 4–6 weeks, fixed price) if the workflow is already clear. The AI Transformation service page also describes a free 60-minute AI opportunity workshop for qualified businesses.
How is an Enterprise Transformation Pod structured?
A dedicated multidisciplinary team led by a Pod Director and an Enterprise Architect, with product and programme managers, engineering squads, and specialists in AI, data, cloud, security and change drawn in as needed, working alongside ten AI agents on the Agentic SDLC. Foundation Pods have 6–8 specialists, Scale Pods 12–20 and Enterprise Pods 25+, on 12, 24 or 36 month contracts. It works alongside your IT teams, builds your internal capability as it goes, and is not staff augmentation.
How are engagements scoped and priced?
Sprints and pilots are fixed price. Pod partnerships are annual contracts based on pod size and committed capacity, billed monthly or quarterly in INR or USD, and scoped after a transformation assessment. Capacity can flex within an agreed band each quarter, the skills mix can be rebalanced as priorities change, and part of the fee can be linked to outcomes.
How is business value measured?
We agree baselines, targets, owners and reporting cadence before work starts, across business value, productivity, software delivery performance, AI workflow performance, adoption, and risk and control. Progress is reported monthly to your programme board and reviewed with leadership each quarter.
