We install Augmented Organizations. Companies whose IT function operates as a coherent system: groups working by default, knowledge as a shared asset, compliance built in from week one. The Augmented Analyst is the human component. Kairós is the governance backbone. What you receive is not training or a strategy deck — it is an IT function operating under governance, with the evidence trail to prove it.
Powered by PRAGMAGROUP. Operationalized by Kairós.
The operating motor of every Augmented Organization we install.
Our proprietary AI governance platform turns informal AI use into auditable AI operations. It registers use cases, captures decision provenance, enforces risk gates, and keeps the evidence trail that makes every AI-assisted decision defensible before an auditor.
Mapped to the frameworks that decide what your operator can produce in inspection, in court, in client review:
Our central objective is to build companies whose IT function operates as a coherent system. Three structural properties, all built into the way of working from week one, not added later. The Augmented Analyst is the human component — meaningful only inside the structure. The role and the organization are inseparable.
Augmented Analysts operate in cohorts where decisions, criteria, and approaches are shared by construction. Knowledge does not live in individual heads — it lives in the group's operating practices. Rotation comes and goes without breaking what the organization knows.
Every Discovery, every Roadmap, every case produces reusable artifacts: signed criteria, codified decisions, playbooks, deliverable code. No tribal knowledge. Investment in transformation becomes a balance-sheet asset, not recurring expense.
Governance built into operations from week one, not added at the end. NIST AI RMF, FDA CSA, SR 11-7, HIPAA, and EU AI Act (mandatory for any organization doing business with European clients). Operationalized through Kairós.
An Augmented Analyst is an experienced professional with sector mastery who uses AI tools, works in groups, shares knowledge by default, and operates under compliance. Five verifiable traits: sector mastery, AI direction, Popperian judgment, group work, regulatory sensitivity. Universities and bootcamps do not produce this profile. We do — from your current workforce or from our network.
UNO and Kairós don't replace your team's tools. They ride alongside — as an extension to the IDE (Cursor) and GitHub — surfacing notices from two autonomous agents.
Every engagement under the same discipline: criteria signed before kickoff, binary evaluation at the end. No retroactive adjustment. Two representative cases below.
Client paying six figures annually for an enterprise HCM solution. Team of two. Twenty-eight days. Functional system with fifteen criteria signed before starting. All fifteen met. The client owns the code and runs the system with their internal team.
Not a garage hacker. A manager who used SAP, knew exactly what it cost and what it failed to do. With domain judgment and LLM access he rebuilt in three days a system the company had used for years, with everything they needed and better. That is all it takes now.
A short, observable path from first conversation to an IT function operating under governance. No multi-month sales cycles. No open-ended assessments. The outcome is the same regardless of vertical or starting state: an Augmented Organization with Kairós installed.
We map your IT operating model against the three structural properties of an Augmented Organization. Which workflows are highest-leverage, what governance posture is required (NIST AI RMF, sectoral baselines), where shadow AI is currently operating. Deliverable: a written assessment, surfaced together with your team in a facilitated session. Killstop at the end of week 2 if you decide not to proceed.
A six-month installation plan against the priorities surfaced in Discovery. Case selection from your backlog, signed binary criteria for each case, governance gates with Kairós, and a fixed budget. Approved by your executive committee before kickoff. No retroactive scope changes.
Operational execution under signed criteria. PRAGMAGROUP deploys senior operators on the cases in your roadmap, Kairós is installed and configured against the governance gates from Phase 2, and your team is brought into the operating practice from week one. By the end, the IT function operates under governance whether we stay or leave.
Four rules. Criteria signed before starting. Binary decision at the end. Not a sellable product. The tool we teach Augmented Analysts so their work is verifiable by the client's executive committee.
Binary observable outcomes, signed by the executive committee before starting. No retroactive renegotiation.
Pilots closed in four-week cycles. Binary decision at the end of each: continue or rethink. No infinite engagements.
Isolated environments with continuous observability. Client production is never at risk during the pilot.
Knowledge to the client's internal team from day one. If PRAGMAGROUP leaves and nothing breaks, the work was done right.
Not academics. Operators currently delivering with clients. Each engagement has a primary practice lead and access to the full team across the disciplines required by the installation.
Author of The 10% Law. Ten years operating AI engineering across enterprise teams. Founder of UNO and co-founder of Kairós.
Georgia Life Sciences Institute. Workforce development and life sciences operations. Writes the foreword to Augmented Organizations.
Senior partner on manufacturing engagements. Operating background across industrial transformation programs and enterprise client relationships.
Co-founder of Kairós. AI governance, digital sovereignty, and compliance frameworks (NIST AI RMF, EU AI Act, ISO/IEC 42001).
Organizational psychologist, ESAN, Prosci PCT certified. Leads change management on workforce transformation engagements.
Data engineer and cloud architect. Operating partner on engagements requiring data infrastructure and platform integration.
Book One of The Augmented Series. Eduardo Valencia, with a foreword by Philip G. Gibson, Ph.D. A field manual for CTOs and CEOs of IT companies and IT-intensive organizations whose operating model no longer matches the cost of software.
I have read several books in the last three years claiming to explain what artificial intelligence is going to do to work. Most of them oscillate between excessive alarm and excessive reassurance, neither of which is operationally useful. This book does neither. It treats the change as a productivity shock with specific, datable, actionable consequences, and proposes a method for navigating those consequences with the kind of rigor that allows the method itself to be tested and, where wrong, corrected.
A short collection of working documents, written for executive readers. Each one is meant to be read in 10 minutes or less and shared internally without our involvement.
Two pages. The questions your leadership is already asking, what we build, and how Kairós operationalizes governance. For CTOs and CEOs of IT companies and IT-intensive organizations.
Twelve cases organized by vertical and problem shape. Four real engagements (one closed-style reference, two in flight, one in active negotiation) and eight illustrative patterns from sector experience.
Foreword by Philip G. Gibson, Ph.D., Chapter 0 and Chapter 4-bis. The argument that the function, not the individual, is the unit of analysis.
The first step of the engagement, before any further commitment. We spend two weeks inside your IT function: shadow AI exposure, current operating model against the three structural properties of an Augmented Organization, governance gaps against the frameworks that apply to your sector. You receive a signed report with binary criteria. You decide what comes next: proceed to Roadmap, stop, or take the diagnosis and act on it internally.
