Data first. Reach the sources, clean them, make them queryable. In one spend system that meant turning crosswalks a team ran by hand in Excel into real data, and catching errors the manual process had buried.

Then analysis: charts and answers in plain language, an engine that audits every line, live IRR and NPV. Then action in your real systems. A capital request moves as one record. A document runs an enforced lifecycle. Approvals route and escalate on their own.

Agents go on last, because everything under them is real. They take the repetitive work and keep the record. A person stays on the judgment, and every answer cites the records behind it.

The data foundation under it all

/ the catalog

We run our own company on it

Five of these run McIntosh Systems day to day, agent-driven over MCP. Three more we build and deploy for clients. All of it stands up in your cloud, across finance, procurement, operations, and quality.

Contract lifecycle with e-signature

Draft, route, and sign agreements in one place. Signature captured in the app.

CRM and pipeline

Pipeline, lead scoring, and outreach on one record. The agent drafts the next move for a person to send.

Delivery and engagement tracking

Milestones, risks, time, and a structured discovery log per engagement. What you learn stays queryable.

Finance and accounting

AR and AP aging, reconciliation, invoices, expenses, budgets, cash-flow, and P&L. Every transaction categorized once, for tax and management.

Development-workflow orchestration

Build work filed and run as tasks agents pick up. Throughput stays visible.

Spend analysis

Ask for a cut of spend in plain words. No report to build first. Replaces Power BI and Tableau.

Capital-asset and budgeting

One source of truth for assets, projects, and budgets. No more shared-drive spreadsheet.

Document control and quality

Versioned, access-controlled documents with the full approval trail. No more folders and email sign-offs.

/ start

See it in practice, then scope your own

Every system here is built from a business's own data up. Start where the work piles up.