Interactive demo | Strategic Intelligence Platform

Chapter 01

Several useful requests, each starting from zero

The first question was not which agent to build. It was which intelligence requests repeated the same collection, analysis, and delivery work, and which parts could be shared across teams.

Requests entering separately

Company change briefings

Find material company updates and prepare the relevant changes for a senior reader.

Executive movement

Track leadership and role changes that matter to a defined market or relationship set.

Publication monitoring

Watch selected research and company publications, then prepare a usable briefing instead of another link list.

Event preparation

Collect the companies, people, and recent context a team needs before an important event.

Systems detected & mapped

Connected
AirtableSignal records
Watched companies, people, and source material
Connected
SlackInternal channels
Briefs delivered where leaders read
Connected
GmailExternal delivery
Briefings to senior leaders' inboxes
Connected
LinkedInPeople and company signals
Role changes and public statements

What consolidation changed

Before Platform

Each request became a separate tool
Source rules were rebuilt for every team
One leader's preferences could become the default
Run costs were hard to compare

With Platform

New requests entered one shared platform
Shared research behavior could improve once for everyone
Leader and team context stayed configurable
Each agent reported its own run cost

4+: standalone requests consolidated
1: shared intelligence platform
6 days: to the first working system

Chapter 02

Shared behavior first, leader preferences second

The platform separated the research behavior every team needed from the audience preferences that should change. This is what made expansion possible without copying the first build for every new leader.

Shared across the platform

Request definition

The research question, expected result, source requirements, cadence, and owner are recorded before work begins.

Source monitoring

Approved public source types are checked through one repeatable collection process across thousands of companies and executives.

Research steps

Focused agents collect, compare, combine, and remove repeated findings before the briefing is prepared.

Run reporting

Every agent reports its own cost so the team can compare and improve the work at the run level.

Configured for each audience

Leader profile

The reader's responsibilities and interests shape what rises to the top without changing the shared research process.

Division context

Sector, market, and relationship context changes the final view instead of creating another standalone tool.

Delivery

The same findings can be prepared for the view and cadence the receiving team actually uses.

Prepared outputs

Briefing for a senior reader
Team view for ongoing monitoring
Prepared file for a defined research task
Run report for cost review

Chapter 03

One platform, three operating views

The view changes with the decision each role owns. The underlying request, sources, and research behavior stay connected.

The research operator checks what ran, corrects the audience configuration, and sees which source or agent needs attention.

This role sees

Requests ready to run
Findings that need review
Source and agent status
Cost for each run

This role can do

Correct a leader or team profile
Retry a failed source check
Hold a briefing for review
Record why a finding was removed

Decision this view supports

Is the briefing ready for its intended reader, or does the research need another pass?

Chapter 04

One sanitized request, traced through the platform

This walkthrough uses a sanitized sample. It shows the working sequence without publishing the firm's source list, people, outputs, or private configuration.

Sanitized sample request

Which companies in this portfolio had a meaningful leadership, earnings, publication, or event change since the last briefing?
Sample wording. No client input or output is shown.

Working sequence

01
Request
Read the question, intended audience, portfolio, and delivery cadence.
The request keeps an owner and an explicit output.
02
Sources
Check the approved public source categories relevant to the request.
Collection follows the shared source configuration.
03
Focused research
Run the reusable agents for the change types named in the request.
Each agent returns findings for the same audience and portfolio.
04
Combine
Remove repeated findings and prepare one coherent set of changes.
The reader receives one briefing instead of several tool outputs.
05
Tailor
Apply the leader and division context without changing the shared research behavior.
The view changes; the underlying request and findings remain connected.
06
Deliver and report
Prepare the briefing in the requested view and record the run cost.
The team can inspect the result and compare the cost of future runs.

Chapter 05

What changed when the work became shared

The before and after, and what it meant for the firm.

Before and after

ChangeBeforeAfter

Starting pointOne focused intelligence problemOne shared platform used across 4+ teams

New requests4+ separate tools competing for attentionRequests consolidated into the shared platform

SpeedEvery new tool built from zeroNew agents shipped in days by reusing shared research rules and components

HandoverThe next wave still depended on the external builderNine production agents delivered with deployment and setup documentation

6 days: first working system
1 to 4+: team expansion
9: production agents handed over
2,400+: companies and executives tracked
$5M+: in pipeline influenced by briefings
Every run: reports its own cost

What the team received

The agents

Nine production agents were included in the formal handover.

The instructions

Deployment guides, setup instructions, and data model documentation accompanied the handover.

The operating model

New requests extend the platform while shared behavior stays separate from team preferences.