Decision frameworks for leaders who answer to a board, not a hunch.
Viksya publishes structured decision systems across three tracks — AI investment, AI-DLC delivery adoption, and cloud migration — each replacing ad-hoc judgment with a repeatable, evidence-based method. Delivered as Excel workbooks or PDF playbooks. No macros, no plugins, no vendor lock-in.
Every programme sits on one of three decision tracks.
AI Transformation governs whether and how much to invest. AI-DLC governs whether and how to adopt an AI-driven delivery methodology once the investment is made. Cloud Migration is a third, focused track for infrastructure moves. Same construction discipline, three different questions.
AI Transformation
Should we invest, in what, how much, is it still under control once funded, and is it compliant? Eight frameworks carrying a programme from first assessment to a board-approved budget and ongoing governance.
AI-DLC
Are we ready to run an AI-driven development lifecycle, which team goes first, does it pay for itself, and is delivery still disciplined once it's live?
Cloud Migration
Are we positioned to migrate — internally delivered or vendor-led — before the programme is scoped and budgeted?
Built for the people who have to defend the number, not just produce it.
Not sure where to start? Answer one question.
Eleven executive questions, mapped to the specific framework that answers each one. Open the one that matches where your programme stands right now.
Should we invest in AI at all — and are we actually ready?
AI Transformation Readiness Assessment
30 criteria across 6 dimensions, scored before you commit budget or a team — not after a pilot stalls.
Open the Assessment →We've decided to invest — which use case should go first?
AI Use Case Prioritization Framework
Rank up to 12 candidates into a defensible Wave 1 shortlist, with a data-readiness hard gate so a compelling idea can't skip the fundamentals.
Open the Framework →What will this AI project realistically cost?
AI Project Estimation Model
Non-linearity multipliers and LLM token costing produce P50/P80/P90 confidence ranges — not a flat contingency guess.
Open the Model →Will Finance actually approve this AI business case?
AI Investment ROI Model
NPV, IRR, payback, and three-scenario modeling — the business case format Finance already recognises.
Open the Model → Bundle: AI Transformation Suite (Readiness + Estimation + ROI)Is our AI programme still under control now that it's in production?
AI Production Governance Toolkit
The recurring governance instrument for AI already live in production, not the one-time pre-investment case.
Open the Toolkit →Could a key AI vendor relationship blindside us?
AI Vendor Governance Scorecard
25 evidence-based criteria across 5 dimensions, producing a weighted Vendor Risk Score and a four-tier Dependency Risk flag — for programmes 50–80% delivered by a system integrator or AI consultancy.
Open the Scorecard →Which of our AI use cases are High-Risk under the EU AI Act or India's DPDP Act?
AI Regulatory Compliance Risk Register
Classifies up to 10 AI use cases against the EU AI Act risk tiers and India's DPDP Act, with a 30-item compliance gap register and a board-ready exposure dashboard.
Open the Risk Register →We have a High-Risk EU AI Act system — what evidence do we actually need to produce?
EU AI Act High-Risk Compliance Pack
Role determination, a FRIA template, human oversight design, a 26-item Annex IV checklist, and a 31-question vendor questionnaire — the execution layer once a system is classified High-Risk.
Open the Compliance Pack → Classify first: AI Regulatory Compliance Risk RegisterAre we actually ready to pilot AI-DLC?
AI-DLC Adoption Readiness Assessment
25 criteria across 5 dimensions. Most organisations select a pilot team first and discover the governance and technical gaps only after it stalls — this reverses that sequence.
Open the Assessment → New to the vocabulary? Start with the free AI-DLC Dictionary of TermsWhich team or system should run our first AI-DLC pilot?
AI-DLC Pilot Selection & Portfolio Segmentation Tool
Scores up to 12 candidates across six dimensions, with Business Criticality hard-gated — a compelling score can't override a no-rollback risk.
Open the Tool →Does the AI-DLC transition actually pay for itself?
AI-DLC ROI & Business Case Model
Payback, Year-1 ROI, and multi-year NPV built from this organisation's own delivery economics — not a borrowed industry benchmark.
Open the Model →Our teams know SAFe, Scrum, or Waterfall — what happens to that under AI-DLC?
SAFe / Agile / Waterfall → AI-DLC Transition Playbook
Three explicit mapping tables, a four-phase roadmap, and a 90-day checklist — so nothing load-bearing gets quietly left behind.
Open the Playbook → Full role depth: Role Transition & Org Design Guide · Context practice: Context Engineering PlaybookDelivery is still happening — but is it still actually AI-DLC?
AI-DLC Governance & Metrics Dashboard
11 indicators roll into a Delivery Health Score and a Ritual Discipline Flag purpose-built to catch methodology drift before it shows up in defect counts.
Open the Dashboard →Are we positioned to migrate to the cloud — internally or via a vendor?
Cloud Migration Readiness Assessment
30 criteria across 6 dimensions, with a built-in vendor YES/NO toggle for internally-delivered or vendor-led programmes.
Open the Assessment →AI Transformation — the investment decision, end to end.
Each framework stands alone. Used in sequence, this track takes an AI programme from "are we ready to invest?" through "is it still under control in production?" to "can we produce the compliance evidence a regulator would ask for?" in a single, evidence-based thread.
Transformation Readiness
30 criteria, 6 dimensions. Ready to invest — before you commit?
Use Case Prioritization
Rank up to 12 candidates into a defensible Wave 1 shortlist.
Project Estimation
Non-linearity multipliers, LLM costing, P50/P80/P90 ranges.
Governance & Compliance — Four Tools, One Ongoing Discipline
AI Production Governance Toolkit
The recurring instrument for AI already live in production — is delivery still under control once it's funded and shipped?
View Toolkit →AI Vendor Governance Scorecard
25 criteria across 5 dimensions. A weighted Vendor Risk Score and a four-tier Dependency Risk flag for programmes largely delivered by a system integrator or AI consultancy.
View Scorecard →AI Regulatory Compliance Risk Register
Classifies up to 10 AI use cases against the EU AI Act risk tiers and India's DPDP Act, with a 30-item compliance gap register and a board-ready exposure dashboard.
View Risk Register →EU AI Act High-Risk Compliance Pack
The execution layer once a system is classified High-Risk: role determination, a FRIA template, human oversight design, an Annex IV checklist, and a vendor questionnaire.
View Compliance Pack →AI Transformation Suite
Readiness, Estimation, and ROI in one purchase — the three frameworks that carry a programme from first assessment to funded budget.
AI-DLC — the adoption decision, from readiness to ongoing governance.
AI-DLC is AWS's named methodology for AI-driven software delivery, built around three phases. Viksya's stack brackets those phases with a readiness gate and a governance instrument — eight tools and two bundles organised into five categories.
Intent → Requirements
Decomposed into Units of Work
Architecture → Code
AI-executed Bolts, human-validated
Deployment → Oversight
Infra-as-Code, ongoing governance
Foundation & Assessment
AI-DLC Dictionary of Terms
The vocabulary, resolved — AI-DLC vs. ADLC vs. ASD vs. ADS vs. AI-Native SDLC. No sign-up required.
Download Free →AI-DLC Adoption Readiness Assessment
25 criteria, 5 dimensions. A weighted Readiness Score and an Adoption Path — before a pilot team or budget is committed.
View Framework →Business Case & Portfolio
AI-DLC ROI & Business Case Model
Payback, Year-1 ROI, and multi-year NPV built from this organisation's own delivery economics, not a borrowed case study.
View Framework →Pilot Selection & Portfolio Segmentation
Score up to 12 candidates across six dimensions. A ranked shortlist, a Wave assignment, and a mission-critical hard gate.
View Framework →Operating Model & Transition
Context Engineering Playbook
11 sections on building the context artefacts every AI-DLC Bolt depends on — written once, used as a standing reference.
View Playbook →SAFe / Agile / Waterfall → AI-DLC Transition Playbook
Three mapping tables, a four-phase roadmap, four failure modes, and a 90-day checklist — nothing quietly left behind.
View Playbook →Role Transition & Org Design Guide
Eight roles, mapped before and after — what changes, what grows, what doesn't. No euphemisms.
View Guide →Governance & Risk
Governance & Metrics Dashboard
11 indicators, a Delivery Health Score, and a Ritual Discipline Flag that catches methodology drift before it shows up in defect counts.
View Dashboard →Bundles
AI-DLC Starter Kit
The Dictionary, the Adoption Readiness Assessment, and the ROI & Business Case Model — the starting point for an AI-DLC adoption. $99 instead of $118 bought separately.
View Starter Kit →AI-DLC Transformation Kit
The Transition Playbook, the Context Engineering Playbook, and the Role Transition & Org Design Guide — the complete transition reference. $117 instead of $147 bought separately.
View Transformation Kit →Cloud Migration Readiness Assessment
30 criteria, 6 dimensions, and a built-in vendor YES/NO toggle — for internally-delivered or vendor-led migration programmes.
- Decision Framework
- A structured, repeatable method for answering one specific executive question, replacing ad-hoc judgment with defensible evidence.
- AI-DLC
- Short for AI-Driven Development Life Cycle — AWS's named methodology for AI-driven software delivery, structured around three phases: Inception, Construction, and Operations.
- Adoption Path
- A three-tier AI-DLC recommendation — Foundation Needed, Pilot in Bounded Greenfield, or Ready to Scale — driven by an organisation's readiness score.
- Estimation Model (P50/P80/P90)
- A method for projecting cost or effort as a confidence range rather than a single number.
- Governance Gate
- A staged funding checkpoint where an initiative must justify continued investment before proceeding to the next phase.
- EU AI Act Risk Tier
- The classification — Prohibited, High-Risk, Limited-Risk, or Minimal-Risk — assigned to an AI system under Regulation (EU) 2024/1689, determined by a strict waterfall in which each tier is checked in turn.
- FRIA
- Fundamental Rights Impact Assessment — the assessment Article 27 of the EU AI Act requires certain deployers of High-Risk AI systems to complete before first use and notify to the market surveillance authority.
One construction discipline, applied across all three tracks.
The methodology, not the file format, is the product. Every framework — whether it answers an investment, adoption, or migration question — is built the same way.
Research Basis
Each scoring dimension is grounded in recognised transformation, delivery, and portfolio-management practice, not invented criteria.
Structured Scoring
Inputs are weighted and scored consistently, so two different teams using the same framework reach comparable conclusions.
Executive Output
Every model produces a concrete artifact — a score, a confidence range, a ranked list, or a stage-gate recommendation — not raw data.
Governance Use
Outputs are built to be presented at a steering committee or board level, with the reasoning behind the number fully visible.
Looking for creator rate-benchmarking tools rather than enterprise transformation frameworks?
Visit DealDesk for Creators →Built from the inside of large-scale transformation programmes.
Built by a transformation programme leader with hands-on experience managing $100M+ AI and cloud portfolios — these are the frameworks used to make those calls, structured for anyone to apply.
"Simple yet effective scoring model. It helped us in getting past the hump in our transformation journey."