Multi-Model Orchestration Layer Build (10-15 days)
A productized engagement that puts a routing and failover layer between client applications and frontier model providers, so agencies can swap models on price or capability shifts without rewriting delivery code. The offer converts a one-provider dependency into a governed, observable, multi-vendor stack the client keeps paying a retainer to maintain. Time: 10-15 days.
By InnovaAI ResearchPublished
How do you implement it?
Multi-Model Orchestration Layer Build (10-15 days)
A productized engagement that puts a routing and failover layer between client applications and frontier model providers, so agencies can swap models on price or capability shifts without rewriting delivery code. The offer converts a one-provider dependency into a governed, observable, multi-vendor stack the client keeps paying a retainer to maintain.
- Written inventory of every model call currently in production across client accounts, including which provider each one hits
- Access to the client's application repository and environment variables, or a documented list of where API keys live
- Baseline spend data for the trailing 90 days, broken out by provider and by client deliverable type
- Named client-side owner for data governance decisions, since routing changes touch which vendor sees which data
- Agreed latency ceiling per workflow, because a cheaper model that doubles response time can break a live client experience
- 1.Walk the client through the call inventory and confirm which workflows are revenue-critical
- 2.Flag any workflow where a single provider outage would halt client delivery
- 3.Agree on the routing policy draft: cost-first, latency-first, or capability-first per workflow
- 1.Stand up the gateway layer in a staging environment
- 2.Configure provider credentials for at least two vendors
- 3.Verify a single test request routes and returns correctly
- 1.Instrument request logging: prompt, model, token counts, latency, cost per call
- 2.Set retention rules so client data does not sit in logs longer than the contract allows
- 3.Confirm the client's governance owner signs off on the logging scope
- 1.Build the fallback chain so a provider error or timeout reroutes automatically
- 2.Test failover by forcing an error on the primary provider
- 3.Document the failover behavior in plain language for the client
- 1.Enable response caching for repeatable, non-personalized calls
- 2.Measure cache hit rate against the trailing 90-day call log
- 3.Estimate monthly savings from cache hits alone
- 1.Add rate limiting per client account to prevent one workflow starving another
- 2.Set spend alerts at thresholds the client agrees to
- 3.Test the alert path end to end
- 1.Route a low-risk workflow through a cheaper small model and compare output quality
- 2.Route a high-stakes workflow through the premium tier and confirm it still passes
- 3.Record the quality delta for each swap in a comparison sheet
- 1.Migrate the first production workflow off direct provider calls onto the gateway
- 2.Monitor error rates and latency for a full business day
- 3.Keep the direct-call path available as a rollback for 48 hours
- 1.Migrate the remaining production workflows in priority order
- 2.Retire direct provider keys once each workflow is confirmed stable
- 3.Update environment configuration documentation
- 1.Build the cost and latency dashboard the client will actually open
- 2.Break spend down by client deliverable so the agency can defend its own pricing
- 3.Schedule the first monthly review call
- 1.Run a tabletop exercise: simulate a provider price increase and reroute in under an hour
- 2.Run a second exercise: simulate a provider deprecating a model the client depends on
- 3.Write the reroute runbook from what the exercises surfaced
- 1.Hand over the runbook, dashboard, and routing policy to the client team
- 2.Train two client staff on adding a new provider without agency help
- 3.Close with a written summary of spend before and after
The agency margin comes from selling a governance and portability layer, not from reselling tokens. Once the routing layer is in place, every model price cut or capability shift becomes a billable optimization sprint rather than a rewrite, and the monthly monitoring retainer is defensible because the client can see the spend dashboard. A single provider price change that the client cannot absorb without a code change is the exact risk this engagement removes, which is why it prices above a standard integration project.
- Routing policy document mapping each client workflow to a primary model, a fallback model, and the reason for the choice
- Live cost and latency dashboard covering every routed workflow, broken out by client deliverable
- Failover and reroute runbook tested against a simulated provider outage and a simulated price increase
- Provider comparison sheet with measured quality deltas for each workflow that was moved to a cheaper tier
- Handover session recording plus written configuration guide so client staff can add a provider unaided
Every production model call routes through the gateway, the failover chain has been triggered successfully in a live test, and the client's named owner has signed off on the routing policy and the cost dashboard.