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Intelligence for institutions that must deliver.

Test a clearer path from delivery evidence to an accountable decision.

Turn the project, programme and portfolio evidence your institution already produces into traceable executive decisions — and verify whether the intervention worked and the value endured.

One number governs this product: evidence-to-decision time.

Explore the Prototype
  • Diagnose
  • Prioritize
  • Govern & Transform
  • Monitor
  • Assure
  • Realize Value
  • Learn
  • Reassess

Prototype / pre-production · Starting in Cameroon · Built for Africa · English and French

Prototype on synthetic data only. No live model calls. No client evidence is used in it.

Illustrative example
  1. Evidence

    Status report · risk register · steering minutes

  2. Delivery signal

    Evidence-linked contradiction / emerging issue

  3. Governance implication

    What leadership and governance must understand

  4. Decision required

    Traceable executive decision cue

Human review

ACCEPTAMENDREJECTESCALATE

The evidence-to-decision gap

Projects do not fail in isolation. Institutions deliver them.

The problem is not a lack of reporting. It is the distance between evidence and decision.

  1. 01

    Fragmented evidence

  2. 02

    Late risk visibility

  3. 03

    Slow executive decisions

  4. 04

    Lost institutional learning

Evidence institutions already produce

  • Status reports
  • Risk registers
  • Schedules
  • Budgets
  • Steering minutes
  • Audits
  • Evaluations

Institutions already produce large amounts of project, programme and portfolio evidence. The challenge is connecting that evidence early enough to capability, governance, intervention, realized value and institutional learning.

The institutional delivery loop

One institutional delivery loop — not eight disconnected tools.

Each stage produces evidence the next stage can use, and the loop closes back into institutional capability.

Select a stage to see the executive question it answers.

  1. 01DiagnoseExecutive question

    Can this institution actually deliver what it has committed to?

    Capability

    CPLI™ · Institutional Capability Intelligence

    Executive output

    Capability baseline · improvement priorities · readiness context

  2. 02PrioritizeExecutive question

    What should leadership fund, sequence or intervene in first?

    Capability

    MultiCriterIA™

    Executive output

    Transparent ranking · scenario comparison · decision trace

  3. 03Govern & TransformExecutive question

    Who decides what, on what evidence, and through which structure?

    Capability

    Institutional Upgrade Roadmap™ · P3PMO / OPM

    Executive output

    Governance model · delivery-unit design · upgrade roadmap

  4. 04MonitorExecutive question

    Where is delivery diverging from intent, and how early can we see it?

    Capability

    Delivery Intelligence

    Executive output

    Delivery signals · dependency indications · escalation candidates

  5. 05AssureExecutive question

    Is this finding trustworthy enough to act on — and who validated it?

    Capability

    Delivery Assurance Intelligence

    Executive output

    Evidence-linked findings · assurance record · validated interventions

  6. 06Realize ValueExecutive question

    Did the intervention create the promised value — and did it endure?

    Capability

    PPVSR™ · Value Realization Ledger™

    Executive output

    Benefit-to-outcome trace · sustainability observations · value evidence

  7. 07LearnExecutive question

    What can the next programme inherit instead of rediscovering?

    Capability

    Project Legacy · Africa Project Delivery Casebook™

    Executive output

    Institutional lessons · legacy records · comparable delivery patterns

  8. 08ReassessExecutive question

    Has institutional capability actually improved since the last cycle?

    Capability

    Continuous institutional learning

    Executive output

    Updated capability view · revised priorities · compounding memory

Product proof

From evidence to a human-accountable decision.

One deterministic synthetic scenario across three institutional records. Connect the evidence and follow it through to the decision a named human must own.

Synthetic example · no real institutional evidence

Synthetic institutional records

  • R-1 · Monthly status report · Package 3

    Civil works progress reported at 62% against a planned 74%.

  • R-2 · Risk register · Entry 118

    Land-access risk raised from moderate to high; owner unchanged since last cycle.

  • R-3 · Steering minutes · Cycle 09

    Mitigation action noted as ‘in progress’ for the second consecutive meeting.

  1. Risk / dependency signal

    —

  2. Governance implication

    —

  3. Decision required

    —

Open the Full Institutional Delivery Intelligence Lab

Use cases

Designed for institutions that carry delivery obligations.

Which investments are most ready to deliver — and where does leadership need to intervene?

  • Compare candidate investments against agreed criteria with a reviewable decision trace.
  • Surface delivery divergence across ministries and agencies before it reaches the political level.
  • Follow financed commitments past completion into realized public value.

No client outcomes are claimed. These describe intended fit, not delivered engagements.

Where NPMTI fits

Built for a different level of the delivery problem.

Project / portfolio software

Primary object

Projects and portfolios

Typical role

Plan, coordinate and track delivery work.

Business intelligence

Primary object

Available operational data

Typical role

Visualize, report and analyze.

AI project copilots

Primary object

Project work, documents and user tasks

Typical role

Summarize, draft, search and assist decisions.

NPMTI Intelligence™

Primary object

The institution and its delivery system

Typical role

Connect institutional capability, prioritization, governance, project and programme evidence, assurance, realized value and institutional learning.

Project and portfolio tools can remain part of the stack. NPMTI Intelligence is designed to add an institutional evidence-to-decision layer above and across them.

Project copilots can help professionals perform project work; NPMTI Intelligence is designed to help institutions improve the system through which that work is governed, assured and converted into enduring value.

Four questions: What is happening? Why is it happening? Where should leadership intervene? Is the intervention working?

Beyond project closure

Completion is not the same as value.

Did the intervention create the promised value — and did that value endure?

  1. Promise
  2. Delivery
  3. Outcome
  4. Sustainability
  5. PPVSR™
  6. Institutional lesson
  7. Reassessment

How it is held

PPVSR™Value Realization Ledger™Project Legacy

Every project should leave the institution better able to deliver the next one.

What is engaged

Seven decision modules, each answering an institutional question

Modules are engaged against a decision you already have to make. None of them is sold as a licence to be figured out afterwards.

  1. 01

    Portfolio Prioritization

    Ranks initiatives against weighted criteria with a traceable rationale.

    The institutional problem it addresses

    Too many initiatives, no comparable basis.

  2. 02

    Options & Business Case Appraisal

    Compares investment options against criteria and evidence.

    The institutional problem it addresses

    A capital decision that must survive scrutiny.

  3. 03

    Scenario & Sensitivity

    Tests how the ranking moves under changed assumptions.

    The institutional problem it addresses

    What if the budget is cut by twenty per cent.

  4. 04

    Evaluation Method Licence

    The institution runs its own multi-criteria evaluations using the licensed instrument and method.

    The institutional problem it addresses

    Evaluation that withstands challenge.

  5. 05

    Decision Record & Audit Trail

    Every material decision stored with criteria, evidence, reviewer, reason and disposition.

    The institutional problem it addresses

    Oversight, audit and institutional memory.

  6. 06

    Delivery Risk & Exception

    Surfaces what requires attention, traced to authorized evidence.

    The institutional problem it addresses

    Problems discovered too late.

  7. 07

    Benefits & Value Verification

    Did the investment produce the value it was undertaken for.

    The institutional problem it addresses

    Boards and financiers asking for proof.

The procurement boundary we place on ourselves

  • On the Evaluation Method Licence: NPMTI supplies the instrument and the method. NPMTI does not participate in, score, or advise on any live procurement or award decision. The institution runs its own evaluation.
  • No module is engaged without a named institutional decision it is meant to inform.
  • No project evidence is transferred through this website. Evidence scope, governance and secure sharing are agreed in a separate written arrangement.
  • Scope, criteria and boundaries are agreed in writing before any engagement begins, and the institution keeps the scoring logic.
  • We do not bundle an assessment with the remediation we would then sell against it.

Is this the right instrument?

This is not software you buy to feel modern. It is an instrument for institutions that already know a delivery decision is being made too late, too often, on evidence nobody can trace.

Three conditions under which this is the wrong product for you

We would rather you disqualify yourself now than discover it in month four. If any of the following describes your institution, NPMTI Intelligence is not the right starting point.

  1. 01

    You do not yet produce project evidence

    If reports, minutes, risk registers and progress records are not routinely produced across your portfolio, there is nothing for an evidence-grounded system to reason across. Establish the delivery record first.

  2. 02

    You want a dashboard rather than a decision

    If the objective is a better-looking view of the same information, business-intelligence tooling is cheaper and faster. This product exists to make an accountable decision traceable, not to visualize a status.

  3. 03

    No named executive owns the decision

    Without an executive sponsor who owns the delivery decisions in scope, findings have nowhere to land. Institutional accountability cannot be supplied by a system.

If those conditions apply, the honest starting point is a structured baseline of institutional delivery capability rather than an intelligence layer. See the NPMTI institutional baseline

Where this product actually stands today

Stated before any commercial discussion, so nothing needs to be discovered later. Prototype / pre-production.

Available or defined

  • The published architecture: dimensions, criteria, boundaries
  • Deterministic prototype views on synthetic evidence
  • Evidence-to-decision method and human decision states
  • Bilingual working language, English and Français

Prototype

  • MultiCriterIA™ prioritization on agreed criteria and weights
  • Capability diagnosis views
  • Evidence-to-intervention assurance traces

In development

  • Production AI reasoning over real institutional evidence
  • Enterprise connectors
  • Longitudinal institutional intelligence across cycles
  • Larger multi-institution deployments

No production capability is offered or guaranteed at this stage. Nothing in the prototype uses real institutional evidence.

How institutions engage

Three steps, each with a stated exit

  1. 01

    Scoping conversation

    The decision in scope, the evidence that exists, the governance boundaries and whether this is the right instrument at all. It ends in a written scope or an honest no.

    One session

  2. 02

    Bounded engagement

    A bounded engagement on one agreed decision, with approved sample evidence shared through a channel established for the purpose. Criteria and weights are agreed before anything is scored.

    Scope agreed in writing

  3. 03

    Scale decision

    The institution reviews the trace, the findings and the effort, then decides whether to extend. Declining costs nothing further, and the scoring logic remains with the institution.

    Institutional decision

Design Partner standing is by invitation only and is attached to paid work. It is not a purchase of production capability.

Engagement

Three ways to engage, by scope

Every engagement is scoped and priced by written proposal

Institution

Establish recurring institutional delivery intelligence.

Scope

A single institution operating the delivery loop across its portfolio.

Proposal on request

Enterprise / Multi-programme

Connect multiple portfolios, governance workflows and premium intelligence capabilities.

Scope

Several programmes and delivery units under shared governance.

Proposal on request

Network / National

Scale governed intelligence across multiple institutions or a delivery network.

Scope

Cross-institution or national delivery systems.

Proposal on request

Funding routes

  • Institution-funded
  • Development-partner-funded
  • Strategic sponsor-funded
  • Network / group licence

How pricing works

What determines a fee, stated before you ask

There is no published unit price, because there is no unit. A fee is determined by the following components and nothing else.

The seven components of a fee

  1. 01The number of decision modules in scope
  2. 02The number of projects or programmes covered
  3. 03The volume and condition of the evidence to be reasoned across
  4. 04The languages the evidence is written in
  5. 05Governance and data-residency requirements
  6. 06The depth of human review and assurance required
  7. 07The size and complexity of the institution

Size and complexity determine the fee. They never determine the assessment, the criteria, the finding, or the order in which institutions are served.

Institutional capability recognition follows its own published ladder. See the NPMTI capability ladder

Trust & responsible AI

Institutional evidence remains institutional evidence.

  • Private by default
  • Institution-controlled access
  • Permission-aware disclosure
  • Evidence traceability
  • Human validation for consequential outputs
  • No automatic public ranking
  • De-identification or aggregation only where authorized

Private institutional evidence

Raw project evidence stays under institutional control and is not public by default.

De-identified benchmark intelligence

Comparative patterns only, and only where the institution has explicitly authorized de-identified use.

Institution-authorized public signals

Nothing appears publicly without explicit permission for that specific material.

NPMTI does not publish confidential institutional scores or rankings without explicit authorization.

No security certification is claimed. Data-handling terms are agreed in writing for each engagement.

AI can support the decision. Humans own the accountability.

AI, integration and evaluation

AI is the reasoning layer — not the institutional judgment.

NPMTI Intelligence is designed to use advanced AI language models for evidence-grounded reasoning across long project documents in English and French. Model and hosting choices are agreed for each engagement against the institution's data-protection and residency requirements. The AI drafts; named people decide.

Institutional systems & documents

  • PMIS
  • ERP / Finance
  • M&E
  • Risk
  • Schedules
  • Reports
  • Spreadsheets
  • Collaboration records

NPMTI Intelligence™

  • Evidence-grounded reasoning
  • Cross-document synthesis
  • English / French reasoning
  • Risk and dependency signals
  • Scenario explanation
  • Executive briefing

Human validation

  • Accept
  • Amend
  • Reject
  • Escalate

Institutional action

  • Executive decision
  • Assurance
  • Intervention
  • Value evidence
  • Institutional memory

Capabilities are at prototype / pre-production stage. Any work with institutional evidence would take place only under a separate written agreement. No AI provider endorses, sponsors or is affiliated with NPMTI Intelligence.

Evaluation discipline

AI outputs must be useful, traceable and reviewable.

Evidence grounding

Can each material finding be traced to authorized evidence?

Decision usefulness

Does the output reduce ambiguity for an actual governance decision?

Human review quality

Can authorized users accept, amend, reject or escalate with clear rationale?

Evidence-to-decision time

Does the workflow materially reduce the time between usable evidence and an accountable decision?

These are the dimensions the product will be evaluated against. No validated production performance is claimed, and no internal benchmarks, prompts or thresholds are published.

What this protects

Four things an institution keeps, whatever happens next

The decision trace

Every material finding stays linked to the authorized evidence behind it, so a decision can be defended, reviewed or reversed on record rather than from memory.

The scoring logic

Criteria, weights and instrument remain with the institution. The exercise can be repeated in a later cycle without us.

Institutional memory

Capability history, decision history and post-closure value accumulate inside the institution rather than inside individual tenures.

Control of disclosure

Evidence is private by default and access is permission-aware. No confidential score, ranking or comparison is published without explicit written authorization for that specific content.

Published boundary

What is published, and what is deliberately not

Published, and open to challenge before you commit

  • The architecture: dimensions, criteria and bands
  • The four refusals we place on ourselves
  • The maturity register above, module by module
  • The components that determine a fee
  • The evidence-to-decision method and the human decision states

Not published, and will not be

  • Institutional scores, rankings or comparisons without explicit written authorization
  • Client names, logos or references we have not been authorized to state
  • Outcome figures we have not measured
  • A security certification — none is claimed
  • Benchmark data from any institution that has not authorized de-identified use

Judge the published material before committing to anything. That is what publishing it is for.

One entity signs on the NPMTI side: Paraklete Consulting Inc. SARL. NPMTI Institute is a programme designation within NPMTI and is not a contracting party.

The four refusals are published in full on the NPMTI programme. Read the four refusals

Request a briefing

Institutional briefing request

A scoping conversation about the decision in scope. No project evidence is transferred through this form.

Optional

Optional

Optional

Optional

One or two sentences is enough.

We respond within two working days.

Contact

Access Bank Building, 2nd Floor, opposite the Ministry of Communications, Yaoundé

Please do not send confidential project evidence through any of these channels.

The NPMTI Cameroon 2027 Summit is held in Yaoundé, 17–18 February 2027. Summit programme

FAQ

Questions institutions ask

What is NPMTI Intelligence?

An institutional delivery intelligence system. It connects institutional capability, strategic and investment priorities, project and programme evidence, governance, delivery assurance, realized value and institutional learning in one evidence-grounded intelligence system.

Is it a project-management system?

No. Project and portfolio management software plans, organizes and tracks work. NPMTI Intelligence reasons across the evidence your delivery system already produces and connects it to capability, decisions, governance, value and learning.

Does it replace PMIS, ERP or BI?

No. It sits above them. Those systems remain the record of plans, transactions and reports; NPMTI Intelligence is the layer that connects their evidence into traceable institutional action.

How does MultiCriterIA™ fit?

MultiCriterIA™ is the decision and investment intelligence element. It makes prioritization explicit — agreed criteria, applied weights, a visible ranking and a decision trace that can be reviewed later.

How does CPLI™ fit?

CPLI™ is the institutional capability intelligence element. It establishes the capability baseline that gives delivery evidence its context, and it is reassessed as real delivery evidence accumulates.

What does the AI do?

It is designed to reason over institutional evidence: long-context and cross-document reasoning, bilingual English/French understanding, risk and dependency extraction, evidence-linked synthesis, scenario explanation and executive briefing. These capabilities are in design and development.

What is human-reviewed?

Every consequential output. Findings and recommended interventions are routed for human validation — accept, amend, reject or escalate — before they become institutional record.

How is evidence protected?

Evidence is private by default, access is institution-controlled and permission-aware, outputs are traceable to source, and de-identified benchmark use or public disclosure requires explicit authorization.

What is available today?

The institutional-delivery architecture, the CPLI™ and PPVSR™ methods, the trust and data principles, and interactive demonstrations on synthetic data. Any use of real institutional evidence would begin only under a separate written agreement.

Can it work in English and French?

Yes. Bilingual English/French operation is a design requirement, because the proof market is Cameroon and expansion runs through CEMAC and Francophone Africa.

Who is it designed for?

Government and public-investment bodies, enterprise and infrastructure owners, universities, and development-finance and programme institutions that must deliver across many projects at once.

Build the intelligence layer for better institutional delivery.

Briefings in English and French, on request.

View the Prototype