Frontier Assistant Rollout for Agency Delivery (10-14 days)
A repeatable engagement that moves a client from scattered individual AI subscriptions to one governed frontier assistant standard across strategy, copy, code, and reporting work. It ships with a task-to-model routing map, a data-control policy, and a measured cost-per-seat baseline the agency can defend on a retainer review. Time: 10-14 days.
By InnovaAI ResearchPublished
How do you implement it?
Frontier Assistant Rollout for Agency Delivery (10-14 days)
A repeatable engagement that moves a client from scattered individual AI subscriptions to one governed frontier assistant standard across strategy, copy, code, and reporting work. It ships with a task-to-model routing map, a data-control policy, and a measured cost-per-seat baseline the agency can defend on a retainer review.
- A named executive sponsor on the client side who owns the AI budget line An inventory of every AI tool currently expensed across client-facing and internal teams Written client data-handling constraints, including any vertical rules such as financial services disclosure limits Access to at least two weeks of historical task logs or time entries for the roles in scope Agreement on which three deliverable types will be used as the benchmark set
- 1.Interview team leads across strategy, creative, and engineering to list recurring task types
- 2.Collect current seat counts, plan tiers, and monthly spend per tool from finance
- 3.Document which client accounts prohibit uploading source files to external models
- 1.Rank the task inventory by weekly hours consumed and revenue attached
- 2.Flag tasks that require file or image understanding versus plain text generation
- 3.Identify the two or three tasks where output quality is already contested by clients
- 1.Select the primary assistant platform and one fallback for redundancy
- 2.Map each ranked task to a model tier, since vendors now ship multiple variants tuned for prototyping, feature work, and multi-step orchestration
- 3.Draft the routing rule set in a single page the team can read in under five minutes
- 1.Run the benchmark set through the primary platform and record output quality scores
- 2.Repeat the same benchmark on the fallback platform for comparison
- 3.Log wall-clock time per task and note where human review is still mandatory
- 1.Build the cost model: seats, API calls, and review hours per deliverable
- 2.Compare projected monthly spend against the current scattered subscription total
- 3.Present the delta to the sponsor with the benchmark evidence attached
- 1.Write the data-control policy covering what may be uploaded, retained, or used for training
- 2.Set permission boundaries so agents cannot reach local file systems or client CRMs without an approval step
- 3.Define the escalation path when a task falls outside policy
- 1.Configure shared workspaces, project folders, and prompt libraries for the three benchmark tasks
- 2.Publish the routing map inside the workspace so it appears at the point of use
- 3.Assign an internal owner for prompt maintenance and version control
- 1.Run a live training session with one role group, using their real client work
- 2.Capture every workaround the team invents during the session
- 3.Revise the routing map based on those workarounds before the second session
- 1.Train the remaining role groups on the same benchmark tasks
- 2.Distribute a one-page reference card covering the routing rules and the data policy
- 3.Confirm each participant can complete a benchmark task unaided
- 1.Review the first week of usage logs against the cost model
- 2.Identify tasks where the team reverted to manual work and diagnose why
- 3.Adjust model tier assignments where quality or latency fell short
- 1.Package the rollout as a client-facing summary with before and after cycle times
- 2.Draft the quarterly review cadence and the metrics that will be reported
- 3.Set the trigger conditions for revisiting platform choice as new models ship
- 1.Hand over the routing map, policy, and prompt library to the client owner
- 2.Schedule the 30-day check-in and confirm who attends
- 3.Close the engagement with a written recommendation on seat count for the next quarter
Agencies can charge setup fees here because the deliverable is a governed operating standard, not a software install, and the client cannot produce the routing map or data policy without someone who has run the tasks. The recurring fee is defensible because model releases arrive monthly and each one invalidates part of the routing map, so the maintenance work is continuous rather than one-off. Margin improves as the same benchmark set and policy template get reused across accounts, cutting the second rollout to roughly half the hours of the first.
- Task-to-model routing map covering the client's ten highest-volume deliverable types Data-control and permission policy signed off by the client sponsor Prompt library with version history for the three benchmark tasks Cost-per-seat model comparing current scattered spend against the standardised stack Rollout summary with before and after cycle times for the benchmark set
The client sponsor signs the routing map and data policy, and every participant in the training sessions completes a benchmark task unaided within the agreed cycle time.