Treasure AI Automates Executive Intelligence with AI Agents

Executive summary

Treasure AI achieved instant ROI with Treasure Studio, its own AI-native application, Treasure AI Studio by replacing a manual, multi-day corporate metrics reporting process with a fully automated weekly executive intelligence agent.

In under 3 weeks, the company went from manually pulling data across multiple systems — including Treasure Data CDP, HubSpot, Looker, Google Suite, and Microsoft Office — to an AI agent that autonomously extracts, transforms, validates, and publishes the company’s most critical FY27 metrics every week, directly aligned to the CEO’s three corporate strategy pillars: ROI in 10 Minutes, ROI 24/7, and Beyond Software Budget.

The system connects to 10+ enterprise platforms via MCP servers: Treasure Data CDP, HubSpot CRM, Looker BI, Atlassian Confluence, Slack, Glean, Google Analytics, Google Suite, Loopio, Workday, and Okta. The Tuesday progress check provides a mid-week pulse via Slack DM. The Friday publish run generates the full “Treasure.AI Velocity Dashboard” on Confluence with week-over-week variations, employee bonus tracking, and forward-looking strategy suggestions — pending one-click approval.

What previously consumed 6–8 hours of analyst time per week now runs autonomously in under 15 minutes, giving the executive team a single source of truth that is always current, always consistent, and always aligned to corporate strategy.
Additionally, skills were built for regional heads for sales, based on unique attributes to specific regionals that were learnt from previous four quarters of performance. Using these skills, the autonomous agent publishes recommendations on a weekly basis on what to focus on to meet annual bookings and revenue targets.

Challenges

Before deploying the AI agent, Treasure AI’s weekly executive reporting required 6–8 hours of analyst time — logging into 4+ systems, exporting data, reconciling numbers, formatting dashboards, and writing commentary. Mid-week visibility was nonexistent, and strategic recommendations to regional GMs simply didn’t happen due to time constraints.

Every metric needed to map to a board-level KPI across three corporate strategy pillars:

ROI in 10 Minutes: The executive team needed proof that AI could deliver measurable value instantly — from zero to a fully operational intelligence system with no data engineering, no ETL tools, and no custom code. Just conversational task and skill definitions executed by AI agents.

ROI 24/7: Reporting couldn’t depend on one person’s availability. The company needed insights delivered autonomously — whether the Chief of Staff to the CEO was in a meeting, on a plane, or offline.

Beyond Software Budget: The manual process consumed the equivalent of a part-time analyst role. At fully loaded cost, that represented $30–50K+ in annual labor that could be redirected to strategic work consolidating budget that would otherwise go to a BI tool, analytics contractor, or additional headcount.

Solution

Treasure AI deployed an autonomous AI agent built on Treasure Studio, adhering to a Responsible AI framework throughout:

Human-in-the-loop by design. The Friday Confluence publish is a draft requiring one-click executive approval by the Chief of Staff to the CEO before going live. The agent never autonomously publishes to a shared audience without human review.

Transparency of data sources. Every metric in the dashboard is traceable to a named source system (HubSpot deal ID, Looker model, Finance baseline). The agent extracts, transforms, and presents data — it doesn’t generate numbers. Provenance is always clear.

No customer PII in the agent. Metrics are aggregated at the deal/account level (company names, deal values, pipeline stages). No individual customer personal data flows through the agent.

Self-correction and error surfacing. The agent proactively flagged data quality issues — CARR discrepancies, MQL tracking gaps, internal vs. customer conversation separation, consulting line item misclassification — rather than silently producing wrong numbers.

No autonomous external actions. The agent reads from systems and writes only to internal stores: Treasure Data, Confluence draft, and Slack DM to the operator.

Results

With the Corporate Strategy AI Agent, Treasure AI can:

• Produce the weekly executive dashboard in 15 minutes instead of 6–8 hours — a 97% reduction in time
• Eliminate manual logins across 4+ systems with full automation via MCP connections
• Deliver reporting 2x more frequently with Tuesday mid-week checks and Friday full publishes
• Generate 18 strategic recommendations per run (3 finance + 3 strategy across 3 regions) — a capability that didn’t exist before
• Track employee bonus attainment automatically on a weekly basis, replacing monthly manual spreadsheets (4x more frequent)
• Surface week-over-week trend analysis and deal-level intelligence (specific deal names, dollar values, and actions per region) for regional GMs — both entirely new capabilities
• Maintain a single source of truth in Treasure Data, replacing manual reconciliation across 4+ disconnected systems

The ROI was instant: the agent was operational within 3 weeks and has run every week since, giving the executive team a dashboard that is always current, always consistent, and always aligned to corporate strategy.