Reports and playbooks
Explore guides for product and technology leaders.
Explore our curated collection of reports, playbooks, and expert insights designed to help technology leaders modernize platforms, accelerate delivery, and unlock measurable business impact.
From product strategy to platform engineering, data modernization to AI enablement — these resources reflect how we help global enterprises build what’s next.
Get practical guidance. Backed by experience. Built for outcomes.
New 2026 Market Research
Discover insights from 550 product and technology leaders.
The most extensive study on AI in product development confirms what many product leaders are already feeling: pressure to prove ROI is rising, the gap between strategy and delivery is widening, and governance requirements are slowing progress in unexpected ways.
Innovation Playbook
Run your innovation lab like a VC.
Large companies are trying to learn from startups to, ironically, fend off competition by startups. The biggest threat to corporate innovation exists inside the building of most large companies.
Use Portfolio Management Theory to align product development and corporate finance.
Insights from 100+ HCLS Leaders
Turn AI ambition into measurable ROI, without compromising compliance.
This report is built for life sciences leaders:
- Product & digital leaders in pharma, biotech, & medtech
- Clinical, regulatory, & data decision-makers
- Teams scaling AI in highly regulated environments
Lessons from real-world delivery
See what a controlled AI experiment reveals about testing.
Based on a controlled experiment and real client projects, this whitepaper explains why the quality of AI in product development depends overwhelmingly on the quality of your specifications. You’ll learn:
- Where AI actually delivers results in testing (and where it doesn’t)
- Where AI creates false confidence
- How spec debt directly impacts test accuracy
- How to build validation into your pipeline without slowing delivery
Lessons from MuleSoft to AWS migrations
Modernizing API infrastructure
API migration done right looks more like an audit than a move. This whitepaper draws on real-world MuleSoft-to-AWS migrations to show how to reduce surface area, clarify data flows, and build for stability. You'll learn:
- Why API mapping defines your scope, sequencing, and risk before any rebuild
- How logic that MuleSoft flows absorb must be made explicit across Lambda, EventBridge, and SNS
- Why validation decides when traffic can safely move
- How to plan for parallel environments when APIs can't move in isolation
GXP AI READINESS ASSESSMENT
Understand what your organization needs to scale AI responsibly
Turning AI ambition into measurable impact requires the right capabilities, controls, and governance. Our AI readiness assessment checklist helps regulated-industry organizations evaluate their current maturity, identify potential gaps, and understand what needs to be strengthened before deploying or scaling AI.
Need more?
Discover insights, POVs, and follow expert opinion.
AI is a new employee. Onboard it like one.
6 changes you need to make when building products with AI
What is cloud modernization? An engineering guide to getting the decision right
7 AI use cases driving real returns in life sciences
Economics, not regulation, is stalling AI in life sciences
