01FinanceAevah Financial Intelligence
Simulate the future. Choose the direction.
Run continuously current forecasts and real-time simulations, change assumptions as the business moves, and let Finance choose direction with the consequences visible.
Choose the Aevah offering that matches your business mandate
- 01Finance
02Deployment controlSovereign AI
Control AI spend. Keep your intelligence private.
Control where inference runs, what it costs, and what crosses the boundary while your secrets, data, business meaning, and accumulated intelligence remain yours.
03HardwareThe Aevah Sovereign Rack
Buy one complete system inside your walls.
Buy the complete system: enterprise compute, GPU, storage, networking, and the Aevah platform, installed and supported inside your control boundary.
04Budget conversionLegacy replacement
Convert replacement budget into broader capability.
Retire MDM, catalog, and other aging systems, preserve the obligations the business depends on, and redirect that budget into one governed foundation that powers many more capabilities.
05Bounded startFirst Flight
Put one outcome in production before expanding.
A bounded initial production target. Pre-packaged use cases carry a 30-day target after agreed prerequisites are staged, followed by a 90-day outcome decision.
What are you accountable for this year?
Start from your responsibility.
The operating friction
Important work is stuck between systems, teams, and decisions.
The cost appears in delayed action, reconstructed context, repeated handoffs, approval queues, and accountability that becomes harder to see.
01
Signals arrive without business context
02
Teams reconstruct the same answer
03
Handoffs separate decisions from evidence
04
Approvals wait for the right owner
05
Change depends on scarce specialists
06
The outcome remains difficult to prove
The reframe
AI capability is abundant. Operating confidence is scarce.
The agent proposes. The ontology permits. A model reasons over a domain it only partly understands, so what it suggests stays a proposal until your business meaning, authority, and action boundaries decide what it is allowed to become.
- Models stay pluggable subsystems, not the system of record
- Business meaning and decision history stay durable
- Consequential action passes through visible authority and evidence
Sovereign AI by design
Any model. Any deployment. Your operating intelligence remains yours.
Models change. Providers change. The business meaning, policy, decision history, and evidence your teams accumulate do not have to change with them.
Universal deployment choice
Every deployment option is available: customer cloud, customer-controlled inference, Aevah-managed private AI, Aevah datacenter, and customer datacenter.
Production-ready on premises
The complete Aevah offering is production-ready for on-premises and air-gapped operation.
Universal model support
Use any model or inference provider without changing the Aevah operating layer.
Automatic model portability
Move between models and inference providers while preserving Operating DNA, policy, workflow state, and evidence.
Independently validated security
Security enforcement is independently validated across identity, isolation, policy, source, inference, and action boundaries.
Contract-backed guarantees
Performance, scale, recovery, and implementation commitments are guaranteed for the agreed operating scope.
Regulatory certifications
Certified operating options support regulated enterprise requirements across the deployment continuum.
Complete operational readiness
Complete rebuild, recovery, operational handoff, and customer-run readiness are part of the offering.
Choose the operating change
Six solution paths into one operating-system model.
Start with the outcome the business owns, not a technology category.
01→
Create capacity and redesign work
Give skilled people more room for judgment, relationships, and consequential work.
When: People lose time coordinating, searching, waiting, and repeating work across queues, handoffs, approvals, spreadsheets, and disconnected systems.02→
Improve decisions and act with confidence
Turn fragmented evidence into a repeatable path from signal to responsible action.
When: Dashboards and analyses create more information, but definitions conflict, evidence arrives late, and accountability for the decision remains unclear.03→
Govern AI-enabled work and change
Delegate more work without losing authority, boundaries, evidence, or change history.
When: AI-enabled work becomes hard to trust when permissions, source context, approvals, and recovery disappear inside the automation.04→
Connect business context and knowledge
Make business meaning, identity, relationships, controls, and source context usable across decisions and work.
When: Organizations have data, but definitions, identity, history, ownership, and expertise remain disconnected across systems and people.05→
Run frontline operations
Keep staffing, activity, exceptions, units, and accountability coherent as the shift changes.
When: Frontline conditions change faster than plans, while instructions, assignments, exceptions, and performance evidence are split across tools and handoffs.06→
Operate and change critical systems reliably
Make readiness, change, access, recovery, and handoff visible before critical systems are declared complete.
When: Teams often learn that deployment, access, recovery, or operational readiness was incomplete only after the change reaches users.A primary entry point: legacy replacement
Replace the MDM or catalog obligation. Turn that budget into a broader operating advantage.
A renewal, end-of-life event, or consulting-heavy modernization creates a convergence moment. Preserve the governed capabilities the business depends on, then reuse that foundation across AI, decisions, workflows, and evidence.
Budget todayPlatform licenseSpecialized configurationConsulting dependencySeparate catalog and workflow tools
Renewal / end of lifeConvergence
momentRepurpose the obligation
momentRepurpose the obligation
What the same decision can unlockMastered business domainsGoverned Operating DNAReusable AI contextDecisions and workflowsEvidence and change historySuccess Capacity
Customer 360Product & SKUParty & supplierAsset & locationReference dataCatalog & metadata
Start small. Prove the change.
A bounded production target, then an outcome decision.
For a pre-packaged use case, First Flight targets production within 30 days after agreed prerequisites are staged. The 90-day horizon measures operating progress and informs whether to accept, refine, pause, or expand.
Adoption pathTiming begins after agreed prerequisites are staged
Outcome Working Session
Outcome, owner, value case, scope
Prerequisites staged
Data, access, authority, environment
First Flight
Bounded production target: 30 days for a pre-packaged use case
90-day outcome decision
Measures, operating readiness, adoption, constraints
Next Flight
Accept, refine, pause, or expand from evidence
A practical next step
Make success operational.
Choose one consequential area. Define the owner, boundaries, evidence, and operating outcome that would make a bounded next step worthwhile.
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