AI-guided business conversation
AI helps stakeholders explain how the business needs to work.
AI asks targeted questions about outcomes, policies, exceptions, constraints and existing processes. Stakeholders respond in ordinary business language.
Settrus Implement
In development · Built first for D365FO
Settrus Implement is being built to guide stakeholder conversations, organise requirements and draft fit-gap analysis: what standard D365FO supports and where changes may be needed. It prepares draft functional design documents (FDDs) from decisions approved by a consultant.
See it in action · 5:39
Follow the customer and consultant journey—from discovery conversations to requirements, fit-gap analysis and a downloadable FDD. The consultant stays in control.
AI-guided business conversation
AI asks targeted questions about outcomes, policies, exceptions, constraints and existing processes. Stakeholders respond in ordinary business language.
D365FO-aware AI
AI relates the requirement to relevant D365FO processes and capabilities, considering organisational scope, data, controls, exceptions and dependencies. It asks targeted follow-up questions where intent is unclear.
Consultant handoff
Business users explain their needs in their own words. AI connects those needs to relevant D365FO capabilities and questions.
First release: discovery through FDD. Configuration and validation follow as subsequent milestones for supported scenarios in test environments.
Guide business users through their process, constraints and desired outcome in plain language.
OutputStructured requirements, confirmed facts and open questionsCheck standard D365FO capabilities first, then explain potential gaps and unanswered questions for consultant review.
OutputA draft recommendation with supporting evidenceTurn consultant-approved decisions into draft FDD content without losing the originating requirement.
OutputDraft FDD sections linked to approved decisionsPrepare supported configuration changes in a test environment and apply them only after expert approval.
OutputA record of the approved change and a check of the resultTest the outcome against the requirement that started the work and preserve the result.
OutputValidation results linked to the original requirementWho it helps
For D365FO consultants, implementation partners and business teams: organise requirements, review options and prepare designs with AI support and clear expert ownership.
Expert oversight
The workflow keeps the requirement, AI recommendation, expert decision and validation result connected.
Keep the business requirement and its supporting information together.
Prepare analysis, recommendations and designs for review.
Consultants review the reasoning and approve material decisions and actions.
Test results link back to the requirement or integration intent.
Settrus Implement · Savings calculator
Explore discovery, fit-gap analysis and FDD preparation. Adjust the example inputs to match your project and your assumptions about AI-assisted effort.
Use separate effort for each stage to avoid double-counting. Include setup, expert review and corrections in your Settrus assumptions.
62.5 consultant-days potentially released, valued at £50,000 per project.
Potential capacity released / project
62.5consultant-days500 hours released · 65.96% less effort
Discovery+40
Fit-gap analysis+12.5
FDD preparation+10
Example inputs, not measured results. Consultant effort only; excludes stakeholder time. Days released are not elapsed project days. Capacity value is not a guaranteed cash saving.
Discuss this estimateReview and edit your estimate in the enquiry form before sending.
Questions, answered
It is in development. An internal D365FO prototype is undergoing validation before customer pilots. Get in touch to explore a pilot or help test and shape the product.
The first release focuses on discovery, structured requirements, draft fit-gap analysis and functional design documents. Approved configuration in test environments and validation are subsequent milestones.
Consultants review the evidence, challenge assumptions and approve material decisions. AI prepares drafts; expert judgement remains part of the workflow.
No. The calculator models your assumptions about consultant effort. Its example values are editable and are not measured product results. Capacity value excludes software fees and does not promise shorter project schedules or cash savings.
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