Decision Support + Simulation Pack

Verification-centric decision support in two depths. A facilitated Decision Map Workshop when the call is about options and alignment; a Simulation Decision Pack — backed by Comuvia's own economic simulation — when the answer turns on numbers. Three to twenty business days, priced as a workshop or a decision pack.

Map a decisionSee a published Decision Pack

A short walkthrough of Comuvia Decision Support — the model proposes the options, a calibrated verifier decides what actually holds up, and every finding traces to evidence before you commit.

What you bring

The engagement starts from your decision, not from a template. Three inputs make it productive from day one.

The decision, stated as a question

Build vs. buy, rebuild vs. refactor, AI in-house vs. vendor, allocate vs. hold — one live decision with real capital or real commitment behind it, and the date by which it must be made.

The decision owner in the room

The person accountable for the call joins the scoping call and the final walkthrough. Decision support that never meets the decision-maker produces documents, not decisions.

Your assumptions, constraints, and whatever numbers exist

Budgets, timelines, unit economics, prior analyses — in whatever state they are in. Gaps are expected; surfacing the assumptions nobody had written down is part of the work. Client-confidential data is handled under explicit controls, with NDA, rights, and retention terms named in the proposal.

What you get

Both depths deliver the same decision artifact: a named option set, an explicit assumption register, modeled scenarios where they help, and one recommended path with written rationale and implementation invariants. The difference is how far the evidence goes.

Decision Map WorkshopSimulation Decision Pack
Best whenThe call is about options and alignmentThe answer turns on numbers
FormatFacilitated working sessions plus a written decision mapA modeled engagement on Comuvia's own economic simulation platform
EvidenceNamed options, explicit assumptions, recommendation with written rationaleEverything in the Workshop, plus scenario sweeps and shock analysis — every quantitative claim traceable to a run id, an equation, and a validation test
TimelineShort end of the 3-20 business-day bandLong end of the band

A Workshop can graduate into a Pack: if the sessions reveal that the decision hinges on a number nobody can defend, the decision map and assumption register become the scenario design for the simulation.

How an engagement runs

  1. 1

    Scoping call

    Confirm the decision question, the decision owner, and the deadline. Pick the depth — Workshop or Pack. You get scope, price band, and a delivery date in writing.

  2. 2

    Decision map and assumption register

    Name the full option set, including the option you didn't see. Make every assumption explicit and assign each one an owner and a confidence level — this register is what the recommendation will be audited against.

  3. 3

    Model where it helps

    For a Simulation Decision Pack — scenario and parameter design with your team, then sweep and shock-surface runs on Comuvia's simulation platform. Each output traces to a run id, an accounting identity, and a validation test, and scenarios can be re-run with different inputs.

  4. 4

    Recommendation and walkthrough

    One recommended path with written rationale and implementation invariants, plus the observable signals that would change the answer. A working session walks your committee or board through the audit trail.

Pricing

Priced as a workshop or a decision pack, matched to the depth the decision needs. First-proof Simulation Decision Packs start at $50K; follow-on Packs against the same model family typically run $100K+. The Decision Map Workshop is the lighter band. Every engagement is productized — a defined deliverable, a fixed turnaround, and a fixed price band scoped to the work, not open-ended hourly billing. Request a fit check and you get scope, band, and a delivery date.

Proof

Illustration for A Decision Pack, published in the open

A Decision Pack, published in the open

A full Simulation Decision Pack for a fiduciary-allocator question — how durable is the K-shaped wealth-concentration regime, and which intervention class bends it. Built on Comuvia's simulation platform (24 scenario types across 23 model families as of 2026-07), with accounting identities holding to ~1e-14 and a 20,000-replica shock Monte Carlo quantifying when the recommendation flips.

Read the Decision Pack case study
Illustration for The simulation behind the Pack

The simulation behind the Pack

The article that runs the same stock-flow-consistent models end to end, with the run figures embedded live from the simulation dashboard — reproducible numbers, not a chart and an opinion. See the live run figures for yourself.

See the live run figures

Fit — and not a fit

Who is this for?

Leaders holding a build/buy, rebuild/refactor, or investment decision that needs a defensible written recommendation — PE firms and portfolio operators, family offices and fiduciary allocators, investors, and founders, CTOs, and architecture leaders.

When is the Workshop enough?

When the decision turns on option framing and alignment — the options were never laid out side by side, the assumptions were never written down, or the room disagrees about what is actually being decided. A facilitated map with an explicit assumption register often settles it without a model.

When do I need the full Simulation Decision Pack?

When the recommendation has to survive an investment committee, a board, or an LP in writing — and the answer turns on numbers. Quantitative findings trace to actual runs on Comuvia's own validated economic simulation, not to a confident paragraph, and every scenario can be re-run with different inputs.

What is not a fit?

Portfolio construction, stock-picking, market timing, or calibrated point forecasts — simulation outputs are decision support, not investment advice. Also not a fit — generic AI brainstorming or a decision nobody in the room is accountable for.

How do I know the model is sound?

The simulation platform is stock-flow-consistent — accounting identities close to ~1e-14 in every published run, so no hidden flows and no results leaking from an error in the books. Every output traces to a run id, an equation, and a validation test your committee can audit, and the published Decision Pack case study shows the full discipline in the open.

What happens to my data?

Client-confidential data is handled under explicit controls and never folded into public content or shared corpora. NDA, rights, and retention terms are part of every proposal.

Map a decision

Share the decision you are holding and the date it must be made by. Comuvia responds with the recommended depth — Workshop or Pack — plus scope, price band, and a delivery date.

Decision Support + Simulation Pack — a presenter at a boardroom table gestures toward a glowing branching decision tree that fans into a green-to-red spectrum of ranked scenario outcomes, as three colleagues look on