Enterprise AI that can be audited at the speed it is deployed.
Most firms can tell you what your AI policy should say. A different set of firms can build your GPU cluster. Almost nobody connects the two — and the disconnect is exactly where enterprise AI stalls.
We design the control and the infrastructure together, so one control identifier traces from your board’s risk appetite statement, through the data pipeline, to the compute partition it executes on — and produces audit evidence on the way back up.
Why the window is open now
- 88%
- of enterprise AI agent proofs-of-concept never reach broad production
- 80%+
- value-realization failure rate across 2,400+ AI initiatives
- 2027
- OSFI E-23 takes effect, with a minimum model inventory standard
- 120–150 kW
- per Blackwell-class rack — past the point air cooling functions at all
Frameworks & Control Regimes Supported
Roughly 9 months to a defensible AI model inventory.
Guideline E-23 expands scope to all federally regulated financial institutions — insurers and branches included — and covers every model that carries risk, explicitly including AI and ML systems. It sets a minimum model inventory standard.
A populated inventory is the second artifact we hand over. It is also the one most institutions do not yet have.
See what the assessment producesThe Traceability Spine
- 1
Board risk appetite
- 2
Control identifier
- 3
Model
- 4
Dataset
- 5
Compute partition
One identifier scheme links obligation → control → model → dataset → compute. It is what makes the assessment reusable and the evidence defensible.
For CISOs, CROs & Heads of Platform
Assessment Control Plane Preview
6
Weeks to a Populated Inventory
7
Named Deliverable Artifacts
0
Vendor Margin, Ever
4
Disciplines, One Accountable Team
- Control Trace CoverageRisk appetite → control → model → dataset → compute
- 94.6%
- E-23 Inventory CompletenessAgainst the OSFI minimum model inventory standard
- 87/100
- Untraced AI SystemsIn production with no control identifier bound
- 14
Illustrative values. Engagement dashboards are provisioned per-client inside your tenancy — Aegis retains no telemetry post-engagement.
Every figure here is derived from the traceability spine, not self-reported. Ask us to demonstrate the trace on one of your own models.
The Four-Pillar Delivery Model
Four disciplines that must agree before AI reaches production.
Individually these are commodity. What makes them a product is the connective tissue — a single identifier scheme linking a regulatory obligation to a control, a control to a model, a model to a dataset, and a dataset to the compute it runs on.
Compute & Platform
Capacity model, reference architecture, hybrid landing zone, unit-cost baseline
Data & Model Estate
AI system inventory, lineage map, evaluation harness, drift monitoring design
Control & Assurance
Control crosswalk, gap register, three-lines operating model, model risk tiering
Value & Portfolio
Use-case triage, business cases, benefits baseline, stop-doing list
Where This Lands
Five executives contest the AI budget. Each hears a different sentence.
CIO / CTO
“We will tell you exactly how much AI workload your estate can carry before you need capital.”
CISO
“Your AI attack surface is not the model. It is the identity and data path around it.”
CRO / Model Risk
“We will hand you a populated inventory and a control gap register in six weeks.”
CDO
“If you cannot show provenance for the retrieval corpus, you cannot defend the output.”
CFO / Chief AI Officer
“We will give you a ranked portfolio and, more usefully, a list of what to stop.”
One Identifier, End to End
Obligation → control → model → dataset → compute.
And the evidence returns up the same path. Ask us to demonstrate the trace on one of your own models.
Scope Your Assessment
Which tier does your estate need?
Set your estate breadth, regulatory context and compute footprint. The model returns the matching tier, duration and fixed-fee band.
Landing-zone and residency boundary design leads WS1
Recommended Tier
Enterprise Standard
Enterprise-wide, single jurisdiction
The default offer — everything anchors here
6 Weeks
$171,000 – $201,000
$86,000 creditable against Stage 2
40–120 AI systems
Populated to the E-23 minimum standard
5 regimes
2 : 2 : 2 : 1
7 specialists · WS1 : WS2 : WS3 : WS4
Indicative only. Final scope and fee are fixed in a 45-minute technical qualification call, and a statement of work follows within two business days.
Book the qualification call