Our capability statement and the enterprise AI readiness checklist. Both are free — we ask for a work email so we can send the file and follow up if you want it walked through.
Written from delivery experience and updated as our engagements evolve.
Capability statement
SJAIN Tech Capability Statement 2026
The full picture of our enterprise AI and digital transformation practice: services, engagement formats, delivery framework, industries, technology and commercial models.
Format
PDF
Pages
3
Cost
Free
Inside
Six practice areas mapped to typical business outcomes
Engagement formats, durations and what each is best for
The eight-stage delivery framework applied to every mandate
Industry coverage and the problems we solve in each sector
Technology stack across AI, cloud, data, applications and automation
Governance, security and compliance posture
Commercial models, including outcome-linked delivery
Written for: CIOs, COOs, transformation leads and procurement teams
Assessment tool
Enterprise AI Readiness Checklist
Fifty-two evidence-based checks across seven dimensions, with scoring bands that tell you whether to fix foundations, pilot, scale or optimise.
Format
PDF
Pages
3
Cost
Free
Inside
Business case and sponsorship — 7 checks
Data foundations — 8 checks
Process readiness — 6 checks
Technology and architecture — 8 checks
Governance, risk and compliance — 9 checks
People, skills and adoption — 7 checks
Operating and scaling — 7 checks
Scoring bands with a recommended next move for each
Written for: Technology, data, operations and risk leaders assessing AI maturity
Working paper on the seven-dimension readiness model: what each dimension scores, how the weights were set and why governance and data foundations decide whether a pilot scales.
Format
PDF
Pages
2
Cost
Free
Inside
The seven readiness dimensions and what each one tests
Weighting rationale and the four outcome bands
How to run the assessment with process owners
Stated limitations and re-assessment cadence
Written for: CIOs, CDOs, transformation and risk leaders
Research paper
A Practical AI Governance Framework
Reference model placing 21 controls at the six points where an AI system changes state, with the artefact and owner each control requires.
Format
PDF
Pages
2
Cost
Free
Inside
Six lifecycle control points from intake to retirement
Artefacts that carry the evidence, and who owns each
How the model slots into existing change and model-risk processes
Where sector regulation raises the bar
Written for: Risk, compliance, audit and engineering leadership
Research paper
The Automation Economics of Document-Heavy Workflows
A costing method that separates handling, exception, assurance and change cost, and shows why average handling time overstates automation savings.
Format
PDF
Pages
2
Cost
Free
Inside
The four cost components of a document workflow
Building the model from a real case-mix sample
Exception rate as the swing variable in sensitivity testing
What a decision-grade business case includes
Written for: Operations, finance and shared-services leaders
Research paper
Retrieval Architecture for Regulated Enterprises
Architecture paper on making entitlements, citation and refusal properties of the retrieval platform rather than instructions in a prompt.
Format
PDF
Pages
2
Cost
Free
Inside
Permission parity enforced at ingestion and query time
Evidence and citation requirements for enterprise answers
Refusal thresholds and refusal rate as an operating metric
Re-indexing, evaluation and cost-per-answer operations
Written for: Architects, platform engineers and security leads
Research dataset
Enterprise AI Use-Case Taxonomy Dataset
A documented taxonomy of the enterprise AI use cases we deliver, mapped to industry, decision type, data dependency, governance sensitivity and readiness prerequisites.
Format
PDF
Pages
2
Cost
Free
Inside
Full data dictionary with field types and notes
Grain, coverage and update cadence
How the taxonomy was built and reviewed
Known limitations and licence terms
Written for: Portfolio, strategy and architecture teams
Research dataset
AI Readiness Question Bank & Scoring Dataset
All 24 assessment questions with dimension, weight, required evidence and band thresholds, published so you can run or adapt the readiness review yourself.
Format
PDF
Pages
2
Cost
Free
Inside
Question bank with dimensions and weights
Evidence expected for every positive answer
Band thresholds for fix, pilot, scale and optimise
Guidance for adapting the bank without losing comparability
Written for: Assessment, risk and internal audit teams
After the download
Turn the checklist into a costed roadmap.
Bring your completed checklist to a discovery workshop and we will score it with you, size the two or three highest-value gaps and outline a first increment.
Every engagement starts with a 45-minute strategy session.
Bring the problem, the constraints and the deadline. You leave with an architecture opinion, a delivery shape and a realistic budget range — no pitch deck.