Partner with Metergrade.
For global system integrators and Microsoft-ecosystem consultancies: Metergrade turns enterprise AI optimization into a repeatable, evidence-backed delivery capability.
One engagement pattern, repeated across every client estate.
Each engagement follows the same five steps, produces the same class of evidence, and leaves the client with deployed, measurable improvements, not a recommendations deck.
Connect
Attach Metergrade to the client's Azure API Management telemetry. No agents, no request-path changes, no new gateway.
Baseline
Establish the workload-level economic baseline: what every application, model and department actually costs today.
Identify
Surface the inefficient configurations, from model choices to context sizes, retries and routing, each tied to a measured delta.
Validate
Test every candidate change against the client's own quality, latency and reliability thresholds. PASS, FAIL or INCONCLUSIVE.
Deploy
Ship validated changes as APIM policy, through the client's existing Azure controls and approvals.
Evidence-first optimization is what regulated clients can actually accept.
In banking, insurance, healthcare and the public sector, a cheaper configuration is not a deliverable until someone proves it meets the standard. Metergrade renders that proof as part of the work: every change carries a verdict against the client’s own thresholds, and every deployment goes through the client’s existing Azure controls.
The engagement closes with an evidence file the client’s risk and audit functions can read, and a baseline that makes the renewal case measurable.
Evidence, sealed
VERDICTS AGAINST CLIENT THRESHOLDS· DEPLOYMENT THROUGH CLIENT CONTROLS· EVIDENCE ON FILE