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Thinking from the people doing the work
Practical perspectives from our consultants on AI, security, cloud, strategy and talent, and the industry milestones shaping them.
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Latest thought leadership
Contract-to-hire done right: a lower-risk way to fill hard technology roles
For specialist roles where a bad hire is expensive, contract-to-hire lets both sides see the real work first. It only works if the terms, expectations and timeline are clear from day one.
October 29, 2026Data readiness for AI: the work that has to happen before the model
Most stalled AI projects are data projects in disguise. Ownership, quality, access controls and lineage decide whether an AI use case can move from demo to production.
Read articleGenerative AI from pilot to production: what changes for the enterprise
Most large companies have run generative AI pilots. Fewer have shipped them. The gap is rarely the model; it is evaluation, data access, cost and ownership.
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Contract-to-hire done right: a lower-risk way to fill hard technology roles
For specialist roles where a bad hire is expensive, contract-to-hire lets both sides see the real work first. It only works if the terms, expectations and timeline are clear from day one.
Read articleData readiness for AI: the work that has to happen before the model
Most stalled AI projects are data projects in disguise. Ownership, quality, access controls and lineage decide whether an AI use case can move from demo to production.
Read articleGenerative AI from pilot to production: what changes for the enterprise
Most large companies have run generative AI pilots. Fewer have shipped them. The gap is rarely the model; it is evaluation, data access, cost and ownership.
Read articleZero trust in practice: where enterprise programs stall
Zero trust is easy to endorse and hard to finish. Identity sprawl, legacy applications and unclear ownership are the usual blockers.
Read articleFinOps: making cloud spend an engineering metric
Cloud bills grow when no one owns them. FinOps puts cost next to performance and reliability, where engineers can act on it.
Read articleThe specialist advantage: why niche expertise beats headcount
When technology changes this fast, one consultant who has done the exact job before is often worth more than a larger generalist team.
Read articlePost-quantum readiness: start with an inventory
NIST published its first post-quantum cryptography standards in 2024. The first step for most enterprises is knowing where their encryption lives.
Read articleChange management is the missing half of AI adoption
AI tools only create value when people change how they work. Adoption needs the same rigor as the technology.
Read articleIndustry updates
Regulation and standards milestones
Key dates our consultants are helping clients prepare for.
- EU AI Act: most remaining obligations scheduled to apply
Many requirements for high-risk AI systems are scheduled to take effect, completing the Act's main phase-in. Check current guidance, as timelines for some provisions have been under review.
- EU AI Act: rules for general-purpose AI models apply
Providers of general-purpose AI models take on transparency and documentation obligations under the Act.
- EU Digital Operational Resilience Act (DORA) applies
Financial entities in the EU must meet requirements for ICT risk management, incident reporting, resilience testing and third-party risk.
- NIST publishes first post-quantum cryptography standards
FIPS 203, 204 and 205 define algorithms designed to resist attacks from future quantum computers.
- EU AI Act enters into force
The world's first comprehensive AI law begins a staged rollout of obligations based on risk.
- SEC cybersecurity incident disclosure rules take effect
US public companies must disclose material cybersecurity incidents, generally within four business days of determining materiality.
Want to discuss any of these topics?
Our consultants are glad to share what they are seeing.