From model output to decision infrastructure
Most applications can generate an answer. Fewer can show what would make that answer fail.
Business software increasingly gathers data, calls models and produces recommendations. The difficult part comes afterwards: connecting mixed evidence to a specific decision, comparing credible alternatives, representing uncertainty and making the output reviewable by someone who remains accountable. Marres provides a structured decision layer between raw evidence and the action your product presents.
UNSTRUCTURED CONTEXT
Business evidence rarely arrives in one clean schema
Files, research, customer signals, commercial metrics and competitor observations arrive with different labels, units and levels of reliability.
Marres response: organise available evidence around a defined decision, expose proposed mappings and preserve gaps instead of silently treating them as facts.
SINGLE-ANSWER SYSTEMS
One recommendation can hide several viable choices
A model may suggest an action without showing the alternatives, trade-offs or constraints that made it preferable.
Marres response: compare credible choices side by side, including expected opportunity, resource implications and downside exposure.
STATIC ASSUMPTIONS
The best action may change when the environment changes
Recommendations can become fragile when demand moves, costs rise, competitors respond or an initial assumption proves wrong.
Marres response: test the preferred strategy across plausible conditions and show which assumptions can reverse the decision.
OPAQUE RECOMMENDATIONS
Users need to inspect more than the final sentence
An application is difficult to trust when evidence, assumptions and model-generated interpretation collapse into one unsupported output.
Marres response: preserve a traceable decision record connecting inputs, mappings, alternatives, scenarios and the final human-reviewed recommendation.
One analytical layer across the product lifecycle
Prototype the decision. Embed the workflow. Preserve the reasoning. Learn from outcomes.
01 — BUILD DECISION-AWARE FEATURES
Go beyond retrieval and summarisation
Turn business context into an explicit decision structure: the question being answered, the choices available, the constraints that matter, the evidence supporting each choice and the conditions under which the answer should be reconsidered.
02 — ADD SCENARIO EXPLORATION
Let users test what changes the result
Give users a controlled way to vary important assumptions, compare alternative conditions and see whether a recommendation remains useful outside the baseline case.
03 — MODEL STRATEGIC RESPONSE
Represent a market that reacts
For decisions involving competitors or other strategic actors, explore possible responses rather than treating the surrounding market as fixed. Show what the system expected, what materialised and how the response affected the outcome.
04 — CREATE REVIEWABLE OUTPUTS
Produce a decision record, not another transient answer
Bring the available evidence, assumptions, alternatives, uncertainty and recommendation into a structured output that a user can inspect, challenge, export and revisit later.
A question developers increasingly face
What should happen between retrieval and action?
An agent retrieves relevant evidence. A model interprets it. The application is expected to recommend what happens next. Marres helps supply the missing analytical middle:
- What decision is actually being made?
- Which alternatives deserve comparison?
- Which evidence supports each alternative?
- Which mappings or assumptions require human confirmation?
- What happens when key conditions change?
- How might competitors or other actors respond?
- What evidence would reverse the recommendation?
- What should remain subject to human approval?
The result is not an autonomous decision-maker. It is a more disciplined basis for a person—or a product with explicit approval gates—to decide.
How it fits into a developer workflow
From application context to a reviewable decision
- 01
Define the decision contract
Specify the business question, permitted choices, relevant constraints, desired outputs and points where human review is required.
- 02
Supply the available evidence
Bring structured records, files, research outputs or observations from the surrounding application workflow.
- 03
Review the proposed structure
Marres identifies useful variables, domains and relationships. Your application or operator confirms what they mean and rejects mappings that are unsupported or misleading.
- 04
Compare the alternatives
Evaluate the available actions against opportunity, feasibility, interaction effects, constraints and important trade-offs.
- 05
Simulate changing conditions
Test how the recommendation behaves when demand, costs, market conditions or strategic responses depart from the baseline.
- 06
Apply approval rules
Keep consequential actions behind explicit application or human approval gates. Marres informs the decision; the integrating product defines authority.
- 07
Return a structured result
Present the recommendation together with its evidence, assumptions, alternatives, confidence limits and reasons for reconsideration.
- 08
Add observed outcomes
Compare what happened with what was expected, preserve the earlier reasoning and use the difference to improve the next decision cycle.
What Marres can contribute to a product
An analytical layer your product can build on
DECISION CONTEXT
A shared structure for the problem
Represent the research question, business context, available evidence, possible actions, constraints and intended outcome in one analytical workspace.
EVIDENCE INTERPRETATION
Signals organised for the decision
Transform mixed market and business evidence into proposed domains, variables and relationships that remain open to review.
OPTION COMPARISON
Alternatives evaluated together
Compare possible interventions, allocations and strategic directions instead of presenting a recommendation without visible alternatives.
SCENARIO TESTING
Recommendations tested beyond the baseline
Explore uncertainty, changing conditions, financial constraints and strategic responses before treating one option as robust.
DECISION OUTPUT
A structured result for people and systems
Return the evidence, assumptions, alternatives, recommendation, cautions and review conditions as a coherent decision record.
OUTCOME LEARNING
A history that does not rewrite itself
Preserve what was believed at the time, add later observations and distinguish changed conditions from changed reasoning.
Designed for products where the answer has consequences
Marres is most valuable when the recommendation must survive scrutiny
STRONG FIT
Decision-support applications
- Internal decision tools used by strategy, commercial or operations teams
- Agent workflows that need structured analysis between retrieval and action
- Client-facing applications comparing investments, interventions or scenarios
- Research products that must preserve evidence and assumptions
- Planning tools operating under uncertainty or incomplete information
- Systems where users need to inspect why a recommendation was produced
- Applications with explicit human approval before consequential action
LIMITED FIT
Answer-only or fully deterministic systems
- Generic chat interfaces that only require fluent responses
- Code-generation or developer-productivity tools
- Transactional applications with fully deterministic business rules
- High-frequency automated control systems requiring real-time guarantees
- Products seeking unsupervised execution without accountable review
- Workflows with no decision question, alternatives or outcome evidence
Your product remains responsible for the action
Marres supplies decision support—not delegated authority
Marres can organise evidence, quantify trade-offs, explore uncertainty and preserve the reasoning behind a recommendation. It does not automatically establish causation, guarantee an outcome or decide who is authorised to act. The integrating developer remains responsible for product behaviour, authentication, permissions, security, validation, domain-specific controls and the final approval pathway.
MARRES CONTRIBUTES
The analytical layer
- Decision structure
- Evidence organisation
- Option comparison
- Scenario exploration
- Strategic-response modelling
- Reviewable decision outputs
THE DEVELOPER CONTRIBUTES
The product and control layer
- User experience
- Domain-specific workflows
- Data permissions and governance
- Authentication and access control
- Approval and execution rules
- Monitoring and operational responsibility
Integration should begin with one consequential decision
Developer Integration Sprint
A focused engagement to determine whether Marres adds useful analytical structure to a real product workflow.
- 01
Select one bounded business decision
- 02
Define the surrounding product workflow and approval boundary
- 03
Map the available evidence and required outputs
- 04
Prototype the decision and scenario structure
- 05
Test the result with representative inputs and users
- 06
Review failure modes, unsupported assumptions and integration limits
- 07
Decide whether to embed, extend or stop
Build an application that can show its work
Add a structured analytical layer between evidence and action. Use Marres to help your product compare choices, test uncertainty and return a recommendation that users can inspect rather than merely accept.