DTA Capability Intelligence
Know what the work needs, who can deliver it, where the risks are, and how the team grows. Capability from evidence, not titles, keywords or personal memory.
Why now
As agents absorb tasks, advantage shifts to organisations that genuinely understand their people's capability and can grow it deliberately. The WEF Future of Jobs 2025 reports 63% of employers see skill gaps as a major barrier to transformation, and 85% are prioritising upskilling. This is the people-and-growth layer of the DTA Approach.
The unsolved problem
Firms have CV databases and skill tags, yet still fall back on interviews, keyword matching and personal memory when forming a squad.
Clients rarely express the real outcomes, responsibilities, context and critical capabilities the work demands.
A person's profile omits relevant, transferable evidence — and uses different language to the brief.
Matching people one by one doesn't prove the squad will cover the work or actually work together.
Capability data detaches from delivery, so it ages and stops reflecting what people can really do.
Two better conversations
We compare evidence with demand — not keywords with keywords.
Guide a client beyond the job title: what outcome must this achieve? What decisions and risk will the squad own? What domain, regulatory and technical context matters? Which capabilities are essential, and what evidence would prove them?
Output: an evidence-ready capability brief.
Guide a person beyond the CV: what situations have they handled? What did they decide? What complexity and constraints did they manage? Whom did they influence? What changed because of their work? Which capabilities transfer?
Output: an evidence-backed capability profile.
The lifecycle
Three offers, in sequence — without forcing you to buy all three at once.
Translate a proposition, role or live brief into required outcomes, the human and AI-assisted capabilities, evidence criteria, current gaps and delivery risks, and squad-formation recommendations.
Discover evidence beyond CVs, find complementary strengths, expose gaps and key-person dependencies, and assemble a defensible squad with a client-ready response.
Grow the squad through evidence from real delivery, targeted assignments, coaching, reassessment and internal mobility — evidence-led, not a ratings system or a course catalogue.
Two applications, one capability
The people-and-growth layer of delivery: Proposition → Capability Blueprint → squad formation → Glass Tube proof → evidence-led growth. The Capability Blueprint is a squad work-product within the six-week Proposition Blueprint — and available standalone.
For consultancies responding to client briefs, recruitment and executive search, internal talent and squad management — clarify demand, discover evidence, form squads, and manage capability over time.
Worked example
Synthetic illustration. Each element is labelled by provenance: Generated by the prototype Derived from prototype data Illustrative future workflow. SFIA codes work invisibly; you see plain-English capabilities.
The original request
"We need a team to modernise our regulated payments journey — cloud-native, compliant, in about six months."
Clarified outcomes & critical capabilities Generated
Solution architecture, software development, systems integration, information security, risk management and data engineering — each with the outcomes and evidence that would prove it.
Evidence discovered beyond CVs Generated
e.g. "Led the architecture for a cloud payments migration, 8-person team" maps to Solution architecture with the evidence attached — extracted from experience, validated against the framework (invented or out-of-range skills are flagged, not stored).
Proposed squad coverage Derived
Candidates matched where demonstrated capability meets the requirement — e.g. four of six critical capabilities covered by the lead group, with named evidence per capability.
Gaps & key-person risk Derived
e.g. compliance-strategy risk management and security-leadership thinly covered, and a single point of dependency on one architect — surfaced before you commit the team.
Collaboration-optimised composition & growth plan Future
Preferring people with a proven track record of delivering together, and a growth plan that closes gaps through assignments and coaching, are on the roadmap — today the prototype surfaces matches, gaps and collaborator links for a human to compose and decide.
Client-ready capability summary Future
A consistent team pack — relevant experience, capability evidence and coverage — without exposing framework codes.
Trusted structure
SFIA — the global Skills Framework for the Information Age — provides a recognised structure for skills and levels of responsibility, so capability is explicit and portable rather than personality-dependent. You see clear human language; the codes work invisibly. DTA's use is properly licensed, and Sailesh Panchal is a contributor to SFIA 10. SFIA® is a registered trademark of the SFIA Foundation.
AI-assisted delivery
DTA can use governed AI for guided brief and evidence conversations, evidence extraction and comparison, squad matching and gap analysis — with human oversight, party identity and consent, policy and controls, and an evidence trail. Sensitive client, candidate and employee information can be processed on device or within a controlled environment.
Expansion path
Adjacent capabilities — project and institutional memory, trusted-team and working-relationship discovery, external talent and referral networks — follow as client engagement shows which problem deserves the next tool.
Start here
Worth bringing: the decision you're trying to make, your current workaround, where it fails, the data you already hold, and whether the problem is demand discovery, evidence discovery, squad formation or growth.
Discuss a Capability Blueprint