RoleGPSThe free map to your AI job
All capabilities · Product, business & communication

Translate business requirements into an AI solution design

Discovery, BRD/FRD, process mapping, solution architecture diagrams and success criteria.

~15 focused hoursintermediate
Explore 4 tools for this project
Market relevance

Which roles ask for this — and how often

Share of job postings in India, per role, that name this capability.

AI Solutions / Pre-sales Engineer75%AI Product Manager69%Forward Deployed Engineer (AI)68%AI Governance & Compliance Analyst47%AI-enabled Data Analyst46%
What employers mean

You should be able to…

  1. Run discovery with a business stakeholder and produce a BRD/FRD they'd sign off on
  2. Map the current-state process before proposing a to-be automated/AI-assisted version
  3. Draw a solution architecture diagram that an engineer could actually build from
  4. Define success criteria that tie back to the original business requirement
  5. Translate ambiguous requirements ('make support faster') into measurable scope
  6. Identify integration points (APIs, data sources, systems of record) needed for the solution
  7. Flag domain-specific constraints (compliance, data residency) early in the design

Needs first: Explain how LLMs work and where they fail

Learn — free, link-checked

The few resources that matter

Read · beginner · 15 min · atlassian.com

DACI decision-making framework

A ready-to-use framework for making who-decides-what explicit when engineers and execs disagree on AI trade-offs. — Atlassian
Read · beginner · 20 min · asana.com

Process Mapping: How to Map a Process

Clear walkthrough of documenting a current-state process before you propose what to automate. — Asana
Read · beginner · 25 min · atlassian.com

Product requirements: how to write a great PRD

A concrete, widely-used PRD template and structure you can adapt for an AI feature's success metrics. — Atlassian
Read · intermediate · 40 min · docs.aws.amazon.com

AWS Prescriptive Guidance: patterns

Real solution-architecture patterns and decision guides you can mirror when writing a solution design doc. — AWS
Read · intermediate · 45 min · cloud.google.com

Google Cloud Architecture Framework

A vendor's own checklist (reliability, security, cost) for turning requirements into a defensible architecture. — Google Cloud
Tools for practice

Choose a tool for the job

Start with one tool for each part of your project. You don’t need to learn them all.

Go to the practice brief

4 tools to explore

Miro

Plan & explain

Map a process or system and make handoffs, assumptions and failure points visible.

Visit toolGetting started

draw.io

Plan & explain

Draw a process or architecture diagram that can be reviewed alongside your project.

Visit toolGetting started

Google Sheets

Data · Plan & explain

Build a scoring sheet, clean a small dataset or make assumptions visible in a simple model.

Visit toolGetting started

Practices & references

  • Current and future process maps
  • Acceptance criteria

Selected for practice by RoleGPS. No paid placements or affiliate links.
Access can change; check the details before starting.

Think your tool is a good fit? Let us know

Practice

BRD/FRD and solution design for automated loan-document verification

Role-play discovery with an operations lead whose team hand-checks the documents on every loan application. Ground the scope in a published rulebook rather than inventing it — the RBI's Master Direction on KYC names exactly which documents count and what has to be verified. Produce a BRD for the business audience, an FRD for the implementers, and a solution architecture diagram covering ingestion, an AI extraction and validation step, a human-review queue for low-confidence cases, and the system of record it writes back to.

Start from

The RBI Master Directions listing on rbi.org.in — the KYC Master Direction names the documents and checks your requirements have to cover

Milestones
  1. Read the KYC Master Direction and list every document and check it mandates · ~2.5h
  2. Map the as-is manual process step by step: who does what, and how long it takes · ~2.5h
  3. Write the BRD, then the FRD for the same scope · ~5h
  4. Draw the to-be architecture and write the data-handling constraint into it · ~3.5h
Done when
  • BRD and FRD are separate documents with distinct audiences (business vs implementation)
  • Solution architecture diagram shows at least 4 components and the data flow between them
  • Success criteria are measurable (e.g. '80% of documents auto-verified without human review')
  • At least one compliance/data-handling constraint is explicitly addressed in the design
Prove it

Evidence a recruiter can check

  • A solution architecture diagram with at least four components and the data flow between them, drawn so an engineer could build from it
  • A BRD and an FRD covering the same scope, where the difference in audience is visible on page one
  • Measurable success criteria traced back to a named clause in the source rulebook
  • The as-is process map with per-step timings, set beside the to-be version
Signal it

Turned a manual loan-document check into a buildable solution design — BRD, FRD and a four-component architecture with a human-review queue, with every requirement traced to the RBI KYC Master Direction.

Interview

Questions you'll get asked

  1. Walk me through how you'd turn 'automate our loan document review' into a solution design.
  2. What's the difference between a BRD and an FRD, and when do you need both?
  3. How do you map a current-state process before proposing automation?
  4. Tell me about a requirement that turned out to be ambiguous — how did you resolve it?
  5. What goes into a solution architecture diagram that a PRD alone doesn't capture?
  6. How do you account for compliance constraints (e.g. data residency) when designing an AI solution?
See where you stand for AI Solutions / Pre-sales Engineer