Standardize access and evidence.
The gateway, runtime traces, evaluation contracts, and adversarial gate now share identity, policy, and evidence assumptions.
- 30 gateway tests
- 150k-span burst exercise
- 40-probe release gate
Enterprise AI Platform / Product strategy
From scattered AI bets to an operating system.
The operating model connects model access, evaluation, release integrity, grounded knowledge, and agent execution through shared identity, policy, telemetry, and evidence contracts.
Explore the capabilitiesCapability map
One strategy. Five capabilities. A staged path to scale.
Each capability must remove a repeated constraint across two or more products and improve time, cost, risk, or evidence quality.
Three horizons
Sequence by adoption risk, not technical novelty.
The platform starts where teams already feel pain, proves value on real workloads, then expands only when shared infrastructure is cheaper and safer than local solutions.
Make enterprise context reusable.
The seller ontology proves tenant-scoped traversal, graph/corpus parity, and multi-hop evaluation without claiming hosted Neo4j performance.
- 20 multi-hop questions
- 0 tenant crossovers
- Live baseline still gated
Scale controlled agent execution.
SproutRoute supplies the MCP agent runtime, privacy-safe traces, partial results, and the first reversible gateway workload.
- Four specialist agents
- Authenticated tool contract
- Local red-team target adapter
Proposed operating artifact
A platform adoption contract teams can measure.
Shared infrastructure earns adoption when teams can migrate without losing product control. This scorecard makes the platform team accountable for onboarding, compatibility, evidence quality, and unit economics.
StagePlatform commitmentTeam commitmentDecision measure
Provide an SDK, reference service, policy defaults, and a trace viewer.
Name a workload owner and supply expected quality, latency, and data classes.
Target: first governed response in under 30 minutes.Run shadow traffic, compatibility checks, fallback tests, and cost comparison.
Validate product behavior and approve the deterministic-to-AI boundary.
Proceed when the platform meets the product SLO with no critical regression.Publish model, policy, cost, and incident changes through one evidence feed.
Review warnings, own product remediation, and close expired exceptions.
Target: every pilot release carries a verdict, owner, and evidence chain.Support exit and preserve trace export if the shared path fails the workload.
Document the unmet need and retain product-specific controls.
Exit when migration cost or SLO loss exceeds the measured platform benefit.Operating model
The platform is a contract between product teams and shared services.
Funding logic
Every capability carries a stop condition.
Fund
A shared capability when at least two workloads repeat the same control problem and the platform improves time, cost, risk, or evidence quality.
Federate
Domain logic, customer experience, prompts, and product-specific metrics remain with application teams under shared contracts.
Stop
If migration cost exceeds local benefit, teams bypass the control plane, or the capability cannot show measurable risk or unit-economic improvement.
Trace the proof
Each case validates a different part of the model.
Reference workloadSproutRoute
Gateway migration, verified-data boundaries, and the implemented MCP agent path.
Decision planeAI Eval Control TowerComparable model evidence and a release verdict teams can act on.
Integrity gateAI Safety AuditFairness segments, red-team probes, and explicit launch governance.
Knowledge baselineRAG GuardrailsRetrieval, provenance, safety checks, and release logic in one trace.
Implemented capability projects
Implemented / Live-provider gate openLLM Gateway
30 tests, semantic cache economics, DLP, fallbacks, quotas, and a reversible SproutRoute path.
Implemented / Neo4j gate openGraphRAG LayerOne-source graph and corpus projections, safe Cypher, and a 20-question offline comparison.
Implemented / Build verifiedAgent ObservabilitySpan logger, orchestrator reconciliation, failure-first waterfall, and 150k-span burst evidence.
Implemented / Baseline BLOCKRed-Team HarnessPyRIT 0.14, 40 probes, three captured baseline attacks, seven compliance controls, and redacted artifacts.
Implemented and mergedMulti-Agent + MCPFour specialist agents, authenticated tools, partial results, and privacy-safe traces.
The product role
Platform strategy is adoption strategy.
The work is deciding what to centralize, what to federate, how to prove value, and when not to build. That is the through-line across this portfolio.