Decision Framing
Define the decision to be made, the accountable stakeholders, the business outcomes, the constraints, and the approval criteria.
Offering
Graph42 Advisory helps enterprise teams compare AI platforms, gateway products, build paths, and operating models through a nine-phase evaluation. The work concludes with a weighted capability model, cost and risk analysis, architecture validation, and a written recommendation.
The decision problem
Demonstrations show a product at its best. Internal teams evaluate from different priorities. Cost models exclude operating responsibility. Architecture and security questions arrive after preference has already formed.
The result can be a recommendation that sounds confident but cannot show how the shortlist, weights, evidence, assumptions, and tradeoffs produced it.
Evaluation methodology
The method is designed as an inspectable work product. A buyer can see what question each phase answers and what record it produces.
Phases 01–03
The evaluation begins by agreeing on the decision, the outcomes, and the constraints before products enter the conversation.
Define the decision to be made, the accountable stakeholders, the business outcomes, the constraints, and the approval criteria.
Identify priority use cases and the operational, financial, technical, and user outcomes the selected path must support.
Assess the existing architecture, data environment, delivery model, contracts, security requirements, and organizational constraints.
Phases 04–06
The shortlist is compared through disclosed criteria, visible weights, and evidence that can be inspected.
Create the evaluation matrix, define measurable criteria, disclose scoring weights, and document assumptions before options are scored.
Survey relevant platforms and approaches, apply inclusion and exclusion criteria, and produce a defensible shortlist.
Evaluate shortlisted options against documentation, demonstrations, references, tested capabilities, and other permitted primary evidence.
Phases 07–09
The leading path is tested against architecture, controls, cost, operating responsibility, and the implementation decision it creates.
Assess integration fit, identity, data protection, model controls, observability, compliance, and operating-model requirements.
Validate priority capabilities where needed and reconcile implementation cost, operating cost, risk, and internal-build alternatives.
Publish the recommendation, scoring rationale, assumptions, dissenting considerations, implementation roadmap, and traceable decision record.
Weights + evidence
Criteria are tied to the outcomes and constraints established in the first three phases. Weights are disclosed, evidence quality is labelled, and assumptions remain visible beside the score they affect.
Illustrative structure only. Criteria and weights are set during decision framing.
What you receive
The final recommendation preserves the rationale and the responsibilities required to act on it. The work can support implementation by Graph42, an internal team, a selected vendor, or another delivery partner.
Decision charter with stakeholders, outcomes, constraints, and approval criteria
Weighted capability matrix with scoring logic disclosed before evaluation
Evidence register linking scores to permitted source material and tests
Architecture, security, governance, and operating-model validation
TCO, build-versus-buy, and implementation-responsibility comparison
Recommendation, roadmap, assumptions, dissent, and traceable decision record
Inspectable work product
A worked capability matrix, disclosed weighting model, assumptions register, and sample decision record.
When it fits
When the decision is low-risk, reversible, and owned by one team, a nine-phase evaluation may be unnecessary. We will say so.
Engagement
A typical evaluation runs four to six weeks, depending on shortlist size, evidence access, architecture depth, and whether a focused pilot is required. Pricing is provided after scope and decision rights are clear.
Client inputs