Editorial Layer Retainer Build (10-14 days)
A productized engagement that wraps AI text generators in the editorial controls clients actually pay for: voice governance, claim verification, and source flow. Agencies sell judgment and accountability, not typing speed. Time: 10-14 days.
By InnovaAI ResearchPublished
How do you implement it?
Editorial Layer Retainer Build (10-14 days)
A productized engagement that wraps AI text generators in the editorial controls clients actually pay for: voice governance, claim verification, and source flow. Agencies sell judgment and accountability, not typing speed.
- A signed scope that separates generation tooling costs from editorial labor, so the retainer is not priced against per-seat software Access to at least 12 months of the client's published content plus their current style guide, if one exists Named client-side approver for voice and claims, with authority to reject drafts A documented list of regulated or high-risk claim categories for the client's industry Baseline metrics for current content cycle time and cost per published asset
- 1.Inventory every content type the client publishes and rank by revenue proximity
- 2.Record current cycle time and cost per asset for the top three types
- 3.Identify which asset types carry legal or compliance exposure
- 1.Extract voice rules from existing published work: sentence length, person, banned constructions
- 2.Interview two subject-matter experts for terminology the client uses internally
- 3.Draft the voice specification as testable rules, not adjectives
- 1.Build the brand profile inside the chosen platform and load reference documents
- 2.Configure tone and audience parameters against the voice specification
- 3.Run a 500-word control sample and score it against the specification
- 1.Define the claim taxonomy: verifiable, opinion, and prohibited
- 2.Set the source hierarchy the client will accept for each claim type
- 3.Write the rejection rule for unsupported claims
- 1.Configure the fact-checking or source-retrieval step in the production stack
- 2.Test the pipeline against five claims known to be false or unverifiable
- 3.Document which claims the pipeline caught and which it passed
- 1.Map the human review checkpoints onto the production workflow
- 2.Assign reviewer roles: voice editor, claims editor, final approver
- 3.Set the escalation path for disputed claims
- 1.Produce three full drafts end to end through the pipeline
- 2.Time each stage and compare against the day-one baseline
- 3.Log every manual intervention and why it was needed
- 1.Revise the voice specification based on the three drafts
- 2.Tighten or loosen review checkpoints where the log shows waste
- 3.Re-run one draft to confirm the changes hold
- 1.Write the editorial standards document the client will own
- 2.Include the claim taxonomy, source hierarchy, and rejection rules
- 3.Add the AI disclosure position for client-facing and regulated content
- 1.Train the client's reviewers on the pipeline and the standards document
- 2.Run a live session where they reject and approve real drafts
- 3.Capture their objections and fold them into the standards
- 1.Set up the monthly reporting view: assets produced, rejection rate, cycle time
- 2.Define the two or three numbers that justify the retainer each month
- 3.Confirm who receives the report and when
- 1.Deliver the standards document, voice specification, and pipeline map
- 2.Walk the client through the first monthly report format
- 3.Agree the review cadence for the next 90 days
The generator costs the client $30 to $100 per seat per month, so any retainer priced against software collapses at renewal. The margin sits in the editorial layer: voice governance, claim verification, and source accountability are judgment work that clients cannot buy per seat and cannot easily compare across vendors. An agency that owns the standards document owns the renewal conversation, because switching means rebuilding the rules that keep the client's claims defensible.
- Client-owned editorial standards document covering voice rules, claim taxonomy, and source hierarchy
- Configured brand profile and production pipeline inside the chosen platform
- Human review checkpoint map with named reviewer roles and escalation paths
- Monthly reporting template tracking cycle time, rejection rate, and assets published
- Reviewer training session recording and objection log
The client's own reviewers run three consecutive assets through the pipeline without agency intervention, and every published claim traces to an accepted source under the standards document.