Agency-grade AI workflow for short-form teams
From brief to approved script, without the version chaos.
Narraplex helps agencies turn briefs and references into persona-consistent script variants, route them through a simple client review flow, and learn from every approval cycle.
Launch scope is intentionally simple. Script delivery first. Clients approve or request changes on the exact variant they saw.
Built for multi-client agency teams that need faster approvals, tighter control, and client-ready output.
What agencies actually buy
Not another writing toy. The value is operational: faster approvals, fewer rewrites, and a cleaner production rhythm across clients.
Approval speed
More first-pass approvals
Give clients a clear review surface instead of asking them to decode comment threads and file names.
Rewrite control
Less drift between versions
Keep the brief, brand rules, and the latest approved snapshot tied to the work in one place.
Team throughput
More output per pod
Help strategists, writers, reviewers, and account leads move faster without turning every job into a re-brief.
How the core loop works
The workflow starts useful in minutes, then compounds as your team and clients use it.
01
Brief + rules
Define audience, offer, CTA, taboo topics, and brand constraints.
02
Reference pack
Attach past winners, campaign examples, and voice clues without a heavy migration.
03
Draft variants
Generate hooks, beats, captions, and runtime-aware variants for the actual brief.
04
Internal review + guards
Check voice, differentiation, claims, and required lines before the client sees it.
05
Client approval
Send a simple review link where the client approves or requests changes on a variant snapshot.
06
Learn the preference
Approved edits and rejection reasons become tenant-local signals for the next draft.
Who touches the workflow
We describe the pipeline in agency language, not in agent jargon.
Strategist
Sets the angle
Defines message priority, audience fit, proof, and what this script is trying to win.
Creative Director
Clears the concept
Pressure-tests hook strength, pacing, differentiation, and brand fit before client review.
Writer
Builds the variants
Turns the direction into scripts, captions, mandatory lines, and revision rounds.
Reviewer / Account
Packages the decision
Chooses what the client sees, tracks deadlines, and records off-platform feedback or approvals.
Guards
Catch risky drift
Automated checks look for claim risk, missing requirements, prohibited phrases, and off-brief changes.
Client approver
Makes the call
Sees a simple approve-or-change decision on the exact snapshot that was submitted.
Why the model stack is more reliable in practice
Different model families handle different jobs so the same model family does not write, critique, and guard everything end to end.
- Task routing: one family can structure or draft, another can critique, and guard models can check for risky changes.
- Lower correlated failure risk: using multiple model families reduces the chance that one family's blind spot survives every stage unchecked.
- Human review still matters: the point is a safer and sharper workflow, not pretending the model stack replaces agency judgment.
Explore the public product pages
Start with the pages that explain the agency workflow in more detail.
Per-client memory for briefs, references, approvals, and learned voice.
✅ Client Approvals PortalVariant-level approvals with clean snapshot evidence and less version confusion.
🧭 Workflow Roles & RoutingStrategist to client approval, explained in language agencies already use.
⚡ Capacity PacksHandle spikes in output without breaking brand voice or review discipline.
🔒 Multi-TenancyTenant-local learning with no cross-client leakage.
🛡️ Data SovereigntyProcurement-ready data handling, DPA support, and retention controls.
A quick fit check is enough to start the conversation.