Services

From simulation to decision-ready action

MessageBoat can be used as a self-serve decision intelligence platform, or paired with expert support when you need sharper framing, stronger assumptions, and a recommendation leadership can actually use.

The platform gives you modeling power. The service layer helps you turn that into a decision you can defend.

How we support you

Some teams want speed and autonomy. Others want help structuring the problem, testing realistic scenarios, and turning outputs into a credible recommendation.

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Self-serve exploration

For teams comfortable with assumptions, scenarios and modeling logic.

Use MessageBoat directly to explore options, compare transformation paths and test hypotheses at your own pace.

  • Work directly in the platform
  • Stress-test assumptions and compare options
  • Build an internal fact base before discussions
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Guided scenario work

For teams who want support on framing, assumptions or interpretation.

We help clarify the decision question, define a credible baseline, configure useful scenarios and review the outputs with your team.

  • Clarify the business question
  • Set realistic assumptions and scenario boundaries
  • Review results and trade-offs together
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Decision Pack

For teams who need a compact, decision-ready output fast.

A structured expert package combining MessageBoat modeling and synthesis to help you move from uncertainty to a leadership-ready recommendation.

  • Expert-led framing and scenario comparison
  • Explicit assumptions and quantified trade-offs
  • Decision-ready readout for stakeholder alignment

Decision Pack

A focused expert package around one decision

A compact engagement designed to structure your options, simulate realistic scenarios, and deliver a concise output that supports an internal decision.

Typical engagement range: €2,500–€4,500

The range depends on scope, number of scenarios, and the expected depth of synthesis or readout.

What it is

Decision Pack is not open-ended advisory time. It is a structured support format built for teams who need help framing the problem correctly, comparing realistic options, and producing a recommendation they can take into a management discussion.

What it helps solve

  • Evaluating an AI, automation or operating model initiative
  • Comparing several transformation options before budget commitment
  • Preparing an internal business case with explicit assumptions
  • Aligning ops, CX, finance, product or vendor stakeholders around one fact base
  • Pressure-testing a recommendation before executive review

What is included

Decision framing

Clarification of the decision question, scope and evaluation logic.

Baseline review

Review of the current state, baseline assumptions and known constraints.

Scenario configuration

Setup of the most relevant scenarios in MessageBoat for the decision at hand.

Comparative analysis

Comparison of options with explicit assumptions, quantified trade-offs and interpretation.

Decision-ready synthesis

A concise summary of findings, risks, assumptions and recommendation logic.

Readout support

Optional walkthrough or presentation review for internal stakeholder discussion.

Typical format

01

Kickoff and framing

Align on the decision question, context, stakeholders and decision criteria.

02

Scenario modeling and analysis

Configure scenarios in MessageBoat, review outputs and surface the key trade-offs.

03

Synthesis and decision readout

Deliver a concise recommendation package for management or sponsor discussion.

🧭 Discuss your Decision Pack

What you receive

The service layer is designed to make the output tangible, reusable and easier to discuss internally.

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Clarified decision framing

A sharper definition of the question, scope and decision criteria.

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Scenario comparison with explicit assumptions

A readable comparison of realistic options rather than isolated raw outputs.

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Quantified trade-offs

Clear visibility on expected upside, limits, risks and sensitivity points.

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Reusable modeling base in MessageBoat

A structured starting point your team can keep refining in the platform.

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Decision-ready summary

Concise material for internal discussion, recommendation review or sponsor alignment.

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Optional walkthrough

A focused review session to help teams communicate the recommendation clearly.

When support is most useful

When assumptions are debated internally and the team needs a cleaner baseline
When several transformation paths must be compared quickly and credibly
When stakeholders need a common fact base before deciding
When a business case must be prepared under time pressure
When the team wants to avoid over-optimistic vendor narratives
When leadership needs a recommendation, not just model outputs

Who this is for

The service layer is relevant for teams using MessageBoat directly, and for teams who need help turning analysis into a defensible recommendation.

Contact center leaders

When operating decisions need stronger fact bases and scenario comparison.

CX and customer operations leaders

When experience goals must be balanced with workload, cost and delivery reality.

Transformation leaders

When several options need to be structured before steering committees or budget reviews.

Consultants and partner teams

When they need a sharper modeling layer and a cleaner synthesis for client decisions.

Software vendors and BPO teams

When they need a quantified, decision-ready value case rather than a generic ROI claim.

Bring the decision you need to make

Whether you need a lightweight expert review or a full Decision Pack, the goal is the same: reach a clear, credible and decision-ready point faster.