Platform Capabilities
One secure AI engine. Many business operators.
Capabilities Live Today
Reasoning & Answers
- Grounded Q&A with citations
- Excel + table synthesis
- Narrative memo generation
Operator Workflows
- Approval-ready task plans
- Cross-system status rollups
- Prompt-to-report workflows
Enterprise Security
- Private deployment modes
- Role-aware access controls
- Audit logging and traceability
Core AI Engine
What This Enables
Finance Operator
Faster investment memos and risk summaries.
Operations Operator
Cycle-time reduction across planning and execution.
Construction Operator
Better budget and milestone governance.
Healthcare Admin Operator
Safer throughput for policy-heavy admin work.
Commerce Operator
Margin-aware growth playbooks.
Designed to support
Contract Intelligence
ExtensiblePlanning Co-Pilot
ExtensibleField Ops Assist
ExtensibleProcurement Signals
ExtensibleWhat we will never do
- No customer data used for training
- No black-box decisions
- No unsourced outputs
- No autonomous actions without approval
Why Not Generic AI Tools?
Criteria
Generic
Operators
Data privacy
Deployment options
Excel/structured reasoning
Source/citation control
Workflow automation
Audit trails & RBAC
Time-to-value
Cost predictability
Time-to-value trend
IllustrativeInvestor framing
We’re not selling a chatbot; we’re deploying an AI operating layer for business workflows.
Public AI vs Private AI
Data retention
Vendor-defined defaults
Policy-driven retention windows
Training on customer data
May be opt-out / unclear
Never trained on your data
Network isolation
Shared internet endpoint
Private VPC or air-gapped
Audit logs
Limited tenant visibility
Full prompt/output/action trail
RBAC
Basic workspace roles
Fine-grained role + permission control
Citations/source grounding
Generic web-grounded
Grounded on approved enterprise sources
Workflow automation
Chat-centric
Multi-step operator workflows
Excel + internal systems integration
Manual export/import
Native connectors + secure ingestion
Compliance readiness
Shared-control model
Enterprise policy-aligned controls
Before → After Impact
BEFORE
- • Manual spreadsheets
- • Email threads for status
- • Slow reporting cycles
- • Analyst-heavy synthesis
AFTER
- • Ai bots answers
- • Auto KPI packs
- • Anomaly alerts
- • Faster decisions
Reporting time
Positive direction
Analysis cost
Positive direction
Decision cycle speed
Positive direction
Persona-Based Views
What they care about
• Data boundary
• Auditability
• Access control
What they see in platform
• Deployment mode controls
• Prompt + action logs
• Policy toggles by role
Outcome
Security sign-off without blocking innovation
Live Scenario Walkthrough: Weekly Ops Review
1. Ingest Excel/PDF/Email
Collect weekly uploads and approved internal messages into one secure review workspace.
2. Generate KPIs
Create KPI baseline pack with variance, trend, and owner attribution.
3. Detect anomaly
Spot unusual swings and correlate with upstream changes.
4. Draft executive summary
Produce board-ready summary in leadership tone with actions.
5. Approval + distribution
Collect approvals and distribute final pack to leadership channels.
What we don't do
- • We do not train on your data.
- • We do not send prompts to public endpoints in private mode.
- • We do not share data across tenants.
- • We do not retain beyond policy.
Deployment Options
SaaS
Recommended for: Fastest pilotPrivate LLM
Recommended for: Balanced control + speedOn-Prem
Recommended for: Regulated / air-gappedInternet required
Yes
Optional
No
Air-gapped
No
Selective
Yes
GPU control
None
Configurable
Full
Setup speed
Fastest
Moderate
Planned rollout
Compliance fit
General
High
Highest