The Saker Method

From AI possibility to commercial proof.

We work problem-first, not technology-first. The method is a controlled descent, from a wide view of the business issue down to a single, defensible next move.

The method, as a descent

Five stages. Each ends in an artefact.

Stage 01 · Altitude

Clarify the business issue

We start above the noise: what commercial or operational problem actually needs solving, for whom, and why now. No tooling talk yet.

Output: a sharp problem definition and value hypothesis
Stage 02 · Vision

Map AI capabilities

We connect the problem to the AI capabilities and solution archetypes that could realistically address it, vendor-neutral, evidence-led.

Output: capability map & use-case hypotheses
Stage 03 · Conditions

Assess data & governance

We test feasibility against reality: data availability and quality, governance, risk and the operating conditions value depends on.

Output: readiness snapshot & key blockers
Stage 04 · The stoop

Quantify value

We turn the opportunity into numbers, value drivers, cost and productivity assumptions, payback and scenarios an executive can defend.

Output: ROI model & business case
Stage 05 · The strike

Define the next move

We land on one decisive action, the proposal, the roadmap, the investment decision, with the evidence to back it.

Output: a decision pack & clear next step
What you walk away with

The method always ends in an artefact.

We sell rigour, so the work has to look rigorous. Every engagement produces decision-ready materials, not slideware.

Board-ready

Decision packs

Board-ready narratives that make the next move easy to approve, the evidence, the numbers and the recommendation in one place an executive can sign off.

Models

ROI & value models

Defensible business cases with value drivers, payback and scenarios.

Briefs

Intelligence briefs

Account, sector and competitor briefs that prepare you before the conversation.

Journeys

Roadmaps

Phased adoption journeys connecting strategy to execution.

Snapshots

Readiness snapshots

A realistic view of data, governance and operating-model gaps.

Deals

Battlecards

Competitive positioning and objection-handling for active deals.

Principles

Seven commitments behind every engagement.

Problem before technology

We start with the business problem, not the tool, model, vendor or platform.

Evidence before excitement

Decisions grounded in analysis and measurable value, not hype.

Commercial clarity

Every engagement helps you make a clearer commercial decision.

Vendor-neutral judgement

Independent, no platform, partner or stack to push.

Practical intelligence

Usable outputs: briefs, models, roadmaps, diagnostics, decisions.

Value-led adoption

AI must improve performance, revenue, cost, risk or decisions.

Clarity under complexity

We turn complex AI opportunities into executive-ready decisions.

Next move

Put the method to work on your next decision.