Ask FM

What would Future ATI look like in your world?

Real workflows, real problems, real boundaries — not generic industry cards.

Find Your Use Case

Choose how you think about your problem:

Problems We Solve

We cannot find information

→ Document Intelligence

Our AI does not understand our business

→ Specialized AI

We do not have enough training examples

→ Synthetic Data

Sensitive data cannot leave our environment

→ Air-Gapped Deployment

Employees repeat the same questions

→ Document Intelligence + AI

We need to audit documents

→ Document Intelligence

Our AI fails on edge cases

→ Synthetic Data

We need AI without internet

→ Air-Gapped Deployment

Our dataset is a mess

→ Synthetic Data

Industry Examples

Scroll through real workflows with actual boundaries and constraints:

1. Legal Operations

Problem

Your team has 40,000 agreements. Nobody remembers where the important clause is.

Solution

Future ATI indexes all contracts. A policy rule automatically finds contracts beyond retention date. An audit flags 327 contracts that need review.

Example Finding

Vendor Agreement #821: Retention 90 days | Internal rule 30 days | Source: Page 14, Section 7.2

Primary ServiceDocument Intelligence
OptionalAudit Trail
Likely DeploymentPrivate Server
Data BoundaryContracts are private. Audit results are internal only.
Make This Mine

2. Healthcare Operations

Problem

Staff should not hunt through six manuals to find one approved procedure.

Solution

A private FM server runs locally. Staff query the approved procedure library. Patient record systems are not connected by default.

Architecture

STAFF
↓
PRIVATE FM SERVER
↓
LOCAL AI
↓
APPROVED PROCEDURE LIBRARY
Primary ServiceDocument Intelligence
OptionalSpecialized Local AI
Likely DeploymentPrivate Server
Data BoundaryProcedure docs are private. Patient records remain isolated unless explicitly linked.
Make This Mine

3. Manufacturing

Problem

The machine is down, and the answer is buried in a 900-page manual.

Solution

Future ATI retrieves the manual, maintenance procedure, internal troubleshooting notes, and source sections. If procedures conflict, FM shows the conflict and sources.

Primary ServiceDocument Intelligence
OptionalEvidence System
Likely DeploymentWorkstation or Private Server
Data BoundaryManuals and procedures are company-proprietary.
Make This Mine

4. Software Development

Problem

Your coding AI knows programming. It does not know your repository.

Solution

Foundation coding model + repository knowledge + architecture docs + project rules = internal development AI. Permissions: read repo (yes), create branch (yes), open PR (yes), merge main (no), deploy production (approval required).

Primary ServiceSpecialized AI + Repository Integration
OptionalAudit Trail
Likely DeploymentPrivate Server or Dedicated
Data BoundarySource code stays on your network. Production deployment requires manual approval.
Make This Mine

5. Tribal Knowledge Preservation

Problem

When the expert retires, does the knowledge disappear?

Solution

Future ATI helps structure approved knowledge from SOPs, interviews, troubleshooting notes, and resolved tickets. Participation and review must be explicit. No secret employee surveillance.

Primary ServiceDocument Intelligence + Indexing
OptionalCustom Model Training
Likely DeploymentPrivate Server
Data BoundaryKnowledge is internal. Employee consent is required for interviews or surveillance.
Make This Mine

Common Workflows

Workflows that work with FM:

Contract review
Policy search
Employee support
Customer support
Document auditing
Dataset preparation
AI evaluation
Internal research
Compliance review
Technical troubleshooting
Knowledge management
Training dataset creation

These workflows remain practical and private in FM deployments.

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