Major strategic commitments
Enter a market. Build, acquire or partner. Stage a major investment. Fund an innovation.
AI-enabled decision software
Strategic moves, pricing, sales and procurement decisions, made more rigorously and quickly. AI-enabled decision engines, in the hands of the people who decide.
The AI researches and challenges. The engine calculates. The executive decides.
For mid-sized and large companies: CEOs, CFOs and the heads of strategy, pricing, sales and procurement.
Pricing
What to charge, when to move and how the market may respond.
Sales bids
Whether to pursue, at what price, and when walking away wins.
Procurement
Which supplier, at what total cost and on what terms.
What the business gains
Better financial results
Alternatives compared on profit, cost and risk, so margin is protected, terms improve and capital goes where it returns most.
Faster response
When costs, competitors or conditions change, the decision is rerun, not re-studied.
Lower cost of analysis
Once an engine is set up, the people who own the decision run it themselves.
One set of numbers
Finance, sales and procurement argue over the same figures, and disagreements show up in dollars.
Decisions the company keeps
The evidence and reasoning stay on record, so the next team can see why a choice was made and update it.
Try it
Each demonstration shows one decision on fixed questions. The engines themselves work on your own data, alternatives and assumptions.
Financial services, software and technology, logistics, medical devices, manufacturing, transportation, pharmaceuticals and consumer goods.
Companies served include McKesson, Roche, Honeywell, DuPont, Cognos (now IBM), Wolters Kluwer and Great-West (now Empower).
How it works
In every engine, the AI never makes the decision.
Most AI tools hand back a recommendation. Decisiums keeps three roles apart.
Researches and challenges
Reads the case, researches missing evidence, tests the assumptions and explains the result.
Calculates
Advanced mathematical models built for that kind of decision. The same confirmed inputs always produce the same result.
Decides
Confirms the evidence, controls the trade-offs and owns the commitment.
The AI also builds its own version of the case and shows where it disagrees with the team's. Once the outcome is known, it reviews where the analysis fell short. Recorded outcomes can recalibrate the engine, but only when the team accepts the change.
When the data may be unreliable. Every input is tagged with its source, and the engine shows which uncertain figures could change the decision, so the team checks those before signing.
What each run produces
Everything needed to make the decision, and to stand behind it.
The option to take
Each alternative valued in dollars, for its profit, cost and risk, and the one that comes out best.
How the other side may respond
Competitors, customers, suppliers or partners, and what their likely moves do to the result.
The assumptions behind it
Every input listed, sourced and confirmed by your team, so the result can be checked.
A written brief
The decision and its reasoning, ready to share with leadership or the board.
How it starts
Start with one decision already in motion.
Bring one live decision. The relevant engine is set up around your evidence, run with the people accountable, and the results are presented, challenged and rerun. There is no enterprise AI programme to launch first.
One decisionA defined question and an accountable owner
Weeks, not monthsFrom leadership discussion to adjusted results
Your own dataYour evidence, your people, your assumptions
From US$35,000Fixed fee, agreed before work begins, and typically a small fraction of the value at stake; ongoing use licensed separately
Who is behind it
Founded by Alain Meloche, trained in physics (Carleton) and nuclear engineering (University of Montreal) and a practising nuclear engineer before his HBS MBA, then partner and principal in several consulting firms. Engagements run directly or with partner firms and advisers.
About Alain and Decisiums