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CASE STUDY · FINANCIAL SERVICES

SCOUT | Multi-Agent Local-Market Research for an Investment Firm

A configurable multi-agent platform that discovers companies by geography and returns a structured investment verdict

Client
An investment firm evaluating local-market opportunities
Industry
Financial Services · Private Investment
Engagement
Product build
Services
Strategy · Build · AI automation
Tech & Compliance
Multi-agent · Scheduled research jobs

BACKGROUND

The firm evaluates local-market businesses, building assessments almost entirely by hand. An analyst would pick a company, pull competitive listings, piece together demand signals, and benchmark pricing before the team could form a view. The work was sound, but it was serial. The team could only hold as many opportunities in view as its analysts had hours to research, and each finished file began going stale the day it was completed. In practice, research throughput was the binding constraint on sourcing.

THE OPPORTUNITY

The bottleneck was structural. Diligence at this altitude repeats the same motions for every company: identify the competitive set, read demand, test pricing, and weigh the evidence into a verdict. Those motions are exactly what a system of specialized agents can run in parallel across an entire geography at once, applying one consistent standard to every file. If discovery could start from the full local market, and if the research could refresh itself on a schedule, the firm's coverage would finally track its thesis, with the calendar no longer the binding constraint. This would allow the firm to screen many more opportunities and speed up the pace of decision-making, increasing revenue as a result.

OUR APPROACH

Ajaia built Scout as a configurable multi-agent research platform, delivered in five stages.

1. Shadow the diligence workflow. Ajaia sat with the analysts and mapped how a local-market file actually gets built: the sources consulted, the signals weighted, and the reasoning that turns evidence into a recommendation. That map became the specification for the agents.

THE SOLUTION

Scout: a configurable multi-agent platform that finds companies in any target area and scores them for investment.

Location-Based Discovery. Surfaces every relevant company within a target zip code or radius, so screening starts from the full market.
Configurable Agent Teams. Admins assemble specialized AI analysts for competition, demand, and pricing, tailored to each investment thesis.
Scheduled Verdict Reports. Research runs on a schedule and returns a structured report with a clear call: high potential, neutral, or risky.

RESULTS

Analysts screen more than 10x as many additional opportunities with the same headcount, and the roughly 20 hours that each hand-built diligence report consumed now go to the decision itself. Because every company is evaluated against the same criteria, verdicts are comparable across the pipeline, and because research refreshes on a schedule, the file in front of the investment team describes the market as it stands. Scout allows analysts to spend their time where it counts: on the final decision-making process, rather than the research that once hampered it.

1000%
increase in number of opportunities screened per cycle
20
hours of manual research replaced per diligence report
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