Questions and Answers
Answers about Convergent Value Partners™, the I-AVAM™ framework and the PYRALO™ AI-Human Change System.
About Convergent Value Partners™
Our firm, our approach and how to work with us.
What does Convergent Value Partners™ do?
We are a boutique advisory and transformation consultancy. We help organizations make better investment decisions, execute complex transformations and embed operational excellence, so that strategic ambition turns into measurable results.
What makes your approach different?
We manage transformation as an integrated value system. Instead of treating AI, operational excellence, Agile and change as separate interventions, we connect them around one objective: measurable, repeatable and sustainable business value.
What are your four consulting practices?
AI Investment Governance and Value Realization, Enterprise Transformation, Operational Excellence, and Enterprise Agility and Execution. We bring together only the capabilities each outcome requires.
Who do you work with?
Executive leadership teams and the leaders responsible for strategic investment, transformation, operations and delivery. We are a globally oriented consultancy with a strong understanding of transformation opportunities in Africa and other growth markets.
How does an engagement start?
Every engagement begins with your strategic decision, business challenge or value gap. We then follow a six-stage value journey: Discover, Diagnose, Design, Deliver, Demonstrate Value and Sustain.
What engagement formats do you offer?
Executive diagnostics, advisory engagements, transformation programmes, embedded coaching, capability-building programmes and executive workshops.
Will we depend on you after the engagement?
No. Capability before dependency is one of our consulting principles. We help clients build the internal leadership, systems and capabilities needed to sustain results.
Who leads Convergent Value Partners™?
Issifu Awudu, founder of Convergent Value Partners™ and creator of I-AVAM™ and PYRALO™. He is an Enterprise Coach and Lean Six Sigma Master Black Belt.
How do we start a conversation?
Use the Contact page to book an executive conversation, request an I-AVAM™ or PYRALO™ assessment, or make a speaking or partnership enquiry.
AI Investment Decisions
I-AVAM™ 2.0, the Issifu AI Value Assessment Matrix.
What is I-AVAM™ 2.0?
A gated, stage-sensitive framework for AI investment and scale decisions. It assesses four constructs (Strategic Attractiveness, Delivery Readiness, Evidence Confidence and Trustworthiness), applies six mandatory progression gates, and turns the result into an Executive Canvas with a recommendation, risk statement and remediation plan.
What decisions does I-AVAM™ 2.0 support?
Whether an AI initiative should move to its next stage: from discovery to experiment, pilot, controlled deployment or scale. After deployment, it supports decisions to continue, expand, modify or retire. Each mandatory gate ends in Pass, Conditional Pass, Remediation Hold or Stop.
Why can't a high score approve an initiative on its own?
Because comparison is not permission. The Scale Decision Score compares initiatives that are eligible; mandatory gates decide eligibility. A strong value estimate cannot offset unlawful use, unmitigable harm, unresolved data rights or missing accountable ownership.
Does passing every gate mean the initiative is funded?
No. Passing the gates establishes eligibility for the next decision. Portfolio selection then considers resource availability, cost, dependencies, sequencing, risk concentration and strategic balance. A ready initiative may still be sequenced later.
Is evidence judged the same way at every stage?
No. Evidence expectations are stage-sensitive. Discovery needs problem definition and strategic relevance; scale needs stable outcomes, approved controls and a validated benefit case. The Evidence Confidence Ratio measures completeness for the current stage.
Does I-AVAM™ 2.0 replace NIST AI RMF, ISO/IEC 42001 or the EU AI Act?
No. It is built to use the evidence those governance processes produce. Regulatory permissibility and mandatory assurance obligations enter I-AVAM™ as eligibility conditions rather than as points in an average.
Are the weights and thresholds validated?
Not yet. Equal weights of 0.25 and provisional thresholds are transparent starting assumptions. They will be calibrated through expert review, reliability testing, retrospective and prospective studies, and sensitivity analysis.
How does I-AVAM™ relate to PYRALO™?
I-AVAM™ 2.0 helps leaders decide whether an AI initiative is ready for its next level of commitment. PYRALO™ helps them make sure people adopt it responsibly once it is deployed.
Responsible AI Adoption
The PYRALO™ AI-Human Change System, with TICER™ and LESSL™.
Is PYRALO™ a step-by-step maturity ladder?
No. PYRALO™ is deliberately non-linear. A team may have strong Integration but weak Trust, or strong Commitment but weak Embedding. Conditions can strengthen or regress independently.
What causes regression?
Typical triggers include visible AI errors, unexplained solution changes, weak manager support, increased workload, unclear accountability, surveillance concerns, job-displacement fears, security or privacy incidents and benefits that users do not experience.
How is PYRALO™ different from ADKAR, Prosci or Kotter?
PYRALO™ is positioned as a complementary AI-specific system. It adds workflow integration, stakeholder-level evidence, regression sensing, responsible-use considerations and continue/change/stop lifecycle decisions.
Who should complete a PYRALO™ assessment?
Use multiple perspectives. Executives, middle managers, employees, product owners and governance functions should answer role-appropriate questions. Results should be segmented rather than reduced to one enterprise average.
Why are middle managers important?
Middle managers connect strategy with daily work. Middle managers allocate learning time, translate expectations, resolve workflow friction, hear resistance and determine whether responsible behaviour is reinforced.
Can PYRALO™ be used before an AI launch?
Yes. Before launch, PYRALO™ can test readiness across Trust, Integration and leadership ownership. During and after launch, PYRALO™ can track Commitment, Embedding, Reinforcement and regression.
Does a high adoption rate prove success?
No. Log-ins or usage volume can hide inappropriate use, low task value, workarounds or unsafe reliance. PYRALO™ combines behavioural, operational, workforce and value evidence.
What is a suitable first pilot?
A practical first pilot lasts 8 to 12 weeks, focuses on one defined AI use case, covers two or three teams and approximately 30 to 100 users, and includes baseline, midpoint and endpoint measurement.