A multi-agent research product that turns a strategic question into a sourced market report, competitor assessment and decision brief.

From a strategic question to a traceable decision brief

BA Tech designed an AI Market Intelligence Platform for organisations that need reliable market, competitor and sector insight at decision speed. A user provides a research brief covering the market, geography, audience and decision context. The platform plans the research, gathers evidence, analyses the market and assembles a structured report with source traceability and human review.

The product is designed as a research system. Multiple specialist agents work against a shared brief and evidence base so every insight can be traced to its supporting material and every report follows a consistent analytical structure.

The opportunity

Traditional market research brings together discovery, source assessment, competitor mapping, market sizing, analysis and report production. Each stage requires different judgement. BA Tech converted these responsibilities into a coordinated agent workflow while retaining a clear evidence trail and a review point for research quality.

The platform can support strategy teams, government agencies, technology organisations, investors and advisory firms that require repeatable research across markets, sectors and geographies.

The agent workforce

• Brief interpretation agent: translates the user’s question into objectives, scope, geography, audience, assumptions and required outputs.
• Research planning agent: creates the research framework, work packages, source plan and analytical structure.
• Source discovery agent: finds relevant official publications, company material, datasets, research papers and credible market sources.
• Evidence validation agent: scores source relevance, authority, date and consistency and links evidence to claims.
• Competitor intelligence agent: maps competitors, propositions, target segments, channels, capabilities and strategic positioning.
• Market sizing agent: structures assumptions, extracts quantitative evidence and develops transparent sizing scenarios.
• Insight synthesis agent: connects evidence across themes and produces implications, opportunities and decision options.
• Report and citation agent: assembles the final report, manages references and checks coverage against the approved brief.

Infrastructure created for research at scale

• Web application for research briefs, scope controls, project status, review and report access.
• Agent orchestration layer with shared project context, task queues and role-specific tool access.
• Source connectors and collection services for approved web, document, data and organisational repositories.
• Evidence store preserving source metadata, excerpts, retrieval dates, claim links and quality scores.
• Semantic index and relational data layer for retrieval, structured analysis and repeatable comparison.
• Market-sizing workspace that retains assumptions, calculations and scenario logic.
• Template and report-generation service for consistent decision briefs and full research reports.
• Evaluation, monitoring and human-review services for research quality and agent performance.

The research workflow

The shared research brief anchors the entire system. Agents contribute plans, evidence, competitor records, calculations and insights to a governed project workspace. Source provenance travels with each claim. Reviewers can inspect the evidence, refine assumptions and approve the report for release. The same architecture supports rapid updates as market information changes.

Outputs

• Executive decision brief with the central finding, implications and recommended areas for action.
• Market definition, segmentation and demand-driver analysis.
• Competitor landscape and positioning assessment.
• Transparent market-sizing model with assumptions and scenarios.
• Opportunity themes, barriers and strategic options.
• Evidence register and linked source references.

Outcomes

• A repeatable path from business question to decision-ready market intelligence.
• Faster research cycles supported by parallel agents and reusable analytical frameworks.
• Stronger trust through evidence provenance, source-quality controls and transparent assumptions.
• Consistent competitor and market analysis across research projects.
• A scalable product foundation for subscription research, advisory services and internal intelligence teams.

What this demonstrates

This project demonstrates BA Tech’s ability to productise complex knowledge work. It combines agent design, research methodology, source governance, semantic retrieval, quantitative analysis, report generation, human review and scalable platform infrastructure.

Case-study FAQs

What is an AI market intelligence platform?

It is a research system that uses specialist agents, approved sources, structured analysis and report generation to convert a strategic question into evidence-backed insight.

How does the platform support trustworthy research?

The architecture preserves source metadata, claim links, quality assessments, assumptions and human review throughout the research workflow.

Can the platform support competitor and market-sizing analysis? Yes. Dedicated agents can structure competitor records, extract quantitative evidence, maintain calculations and present transparent sizing scenarios.