Product

The applied AI platform for industrial workflows.

A real platform underneath. A team that tailors it to how your operation actually runs.

01 - Your data, unified

One data model, built from what you already run.

FocusNow connects to your ERP, MES, WMS, planning tools, spreadsheets, and exports - and structures it into a single operational model: products, suppliers, locations, inventory, orders, linked the way your business actually links them.

No migration project. No six-month integration. We work with what's already running.

Several differently formatted operational records are mapped, normalized into one canonical record, and stored in a structured operational model. ERP MES SQL CSV MAPPING ENGINE CANONICAL RECORD OPERATIONAL FOUNDATION
02 - Your rules, captured

A repository for the logic that runs your business.

Supplier policies. Inventory thresholds. Approval workflows. Priority rules. Hundreds of judgment calls your team makes every week, living today in spreadsheets, tribal knowledge, and people's heads.

FocusNow captures them into a managed repository - structured, versioned, and reusable across every tool built on top. The longer it runs, the sharper it gets.

Scattered pieces of operational knowledge are consolidated into one governed, versioned repository of business rules, with each rule carrying an approval state. DRAFT RULE REVIEW QUEUE APPROVED v2.4 PUBLISHED RULE VERSION v1.2 v3.0 v1.0 GOVERNED REPOSITORY
03 - Tools, not dashboards

Tools built for the workflow, not the screen.

Chat that answers questions across your data and rules. Purpose-built tools for quoting, reordering, planning - the specific work your team runs every day, shaped around the job instead of a generic dashboard you have to configure yourself.

A shared operational foundation and business logic layer powers several distinct purpose-built applications, energizing each one in turn. RULES · CONSTRAINTS · APPROVALS · GOVERNANCE · VERSIONING OPERATIONAL LOGIC LAYER CANONICAL DATA FOUNDATION ERP · MES · WMS · SQL · CSV · APIS PLANNING INVENTORY PROCUREMENT FULFILLMENT FORECASTING QUOTING
Trust, mechanically

Every decision, traceable.

The AI never touches raw data directly - every answer comes from a tool call, then gets handed back.

The AI never enforces a rule - governed logic applies the rule, not model judgment.

Every answer carries a manifest: the tools called, the data returned, the rule version applied, the freshness of every data point.

Rules are versioned like code - reviewed, tracked, rolled back if needed.

A human signs off before anything ships to production, by default.

How it rolls out

Built in stages, earned in stages.

Every customer's operational logic is different, so every deployment starts with a scoped pilot.

1

Narrow the pilot

Narrow the pilot to one workflow, one segment - named out loud, including what's out of scope.

2

Backtest

Backtest every rule against your historical data before anyone relies on it.

3

Shadow & go live

Shadow the workflow in production with zero risk, then go live with mandatory human review.

4

Expand

Expand scope and autonomy only once the prior step has earned it.

See the platform on your own data.

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