Without a reusable workflow
The team rebuilds the process for every job.
- Find the latest brand rules and approved examples.
- Rebuild the instructions and output format.
- Fix the same voice, terminology and formatting issues again.
Every client keeps their own AI rules, voice, output format, acceptance criteria and cost profile. OmevAI applies the right policy, routes the task between its own models and returns work in the structure that client expects.
Register with your work email. Bring one repeated task and the client rules your team already uses; we will follow up personally.
One workflow · real client rules · keep your current stack
Built for agencies turning repeatable content, campaign and catalogue work into higher-margin delivery—not for replacing strategy, client relationships or final approval.

What this looks like in practice
Choose a client. OmevAI keeps their voice, follows their rules, prepares the right format and tracks the cost separately.
The job stays the same
Turn approved launch facts into campaign content that is ready for the team to review.
Keeps this client's voice
Prepares it for approval
Tracks margin separately
See the full cost of every approved campaign asset for this account.
What the team receives
A concise launch pack with channel-ready captions, approved product language and structured fields for scheduling.
This is an example, not customer data. Before the work goes live, we set each client's rules using their real briefs and approved examples.
Three agency workflows
The product chain changes with the work your team repeats. Choose the closest agency type to see what OmevAI handles and what the agency gets back.
The Omev product chain
What gets automated
Business result
Less manual research and preparation. More qualified opportunities and page work per specialist.
Your team keeps strategy, judgement, client relationships and original creative work. OmevAI takes on the repeatable research, preparation, analysis and production steps shown here.
The expensive part is rarely the first draft. It is the account manager reopening the brand guide, the editor correcting the same forbidden phrase and the operator reshaping the result for a different client system. Those minutes repeat across every account and quietly turn fixed-fee delivery into payroll leakage.
OmevAI keeps a separate policy for each client: voice, constraints, output schema, validation rules, model route and cost view. Your specialists still decide the strategy and approve the work; the repeated production layer stops being rebuilt from memory for every account.
The target is not cheaper AI. It is more approved client work per employee.
Where the extra capacity comes from
OmevAI does not replace strategy or client judgement. It removes the repeated work between an approved brief and something your team can review.
Without a reusable workflow
With OmevAI
The business result
Measure the change with editor hours, approval rate and cost per accepted deliverable—not with the number of drafts generated.
The agency scorecard
Track every client separately. A workflow earns more volume only when approval improves, editor time falls and the account keeps its margin.
Client revenue minus production, review and AI costs for that account.
Generation, retries and human review divided by accepted client outputs.
The time spent correcting policy, format and factual issues before delivery.
The share approved without a rewrite or another round through the team.
The production capacity created without adding another specialist to the roster.
Your team owns strategy, relationships and approval. OmevAI applies each client's operating rules to the repeatable work between an approved brief and a ready-to-review deliverable.
One operating layer for the client work your team repeats.
Save voice, terminology, restrictions and approval rules once per account, then apply the right policy automatically whenever that client's work runs.
Keep one account's instructions, examples and delivery rules separate from every other client on the roster.
Attribute generation, retries and review effort to the correct account so gross margin is visible before renewal or scope review.
Compare cost per approved deliverable across routes and policies, then expand the version that protects approval quality with less production effort.
Reuse the phrases a client approves, block the ones they reject and keep recurring deliverables recognizable without rebuilding the prompt every week.
Return CMS blocks, scheduler fields, JSON, Markdown or client-specific column structures from the same category of work.
Check each client against their required fields, lengths, claims, terminology and review threshold before the work enters the editor queue.
Use a lower-cost route for predictable volume and a richer route for context-heavy work, while keeping the policy tied to the client rather than the operator.
Put the configured workflow behind your own portal, service layer or client-facing product without sending clients into a separate generic writing app.
Turn a proven delivery process into a repeatable template, then attach the correct client rules, route, validation and destination each time it runs.
The task category is the same: turn approved launch facts into channel-ready copy. Today each account manager rebuilds the prompt from a different brand document and remembers a different list of restrictions.
The shared workflow handles the repeated steps. The selected client policy supplies voice, required terms, format, model route and validation, so the output arrives in the right review queue without rules bleeding across accounts.
A retainer grows from twelve deliverables to twenty, but the fee and team stay fixed. Generation spend is small; the invisible cost is the extra editing, reformatting and approval loops.
Track AI spend, retries and editor time against that client's accepted outputs. The account lead sees cost per deliverable and gross margin early enough to change the workflow or scope before renewal.
The agency already has a client portal, approval flow or embedded product. Sending clients into a generic third-party editor breaks the experience and exposes the underlying production stack.
Keep the client-facing interface and insert the configured workflow behind it. Inputs, outputs and status remain part of your service while OmevAI supplies the routed generation and validation layer.
Start with one task category and three representative clients. Bring the input, accepted output, client rules, review checklist, delivery format and current monthly volume for each. We map the shared workflow, isolate the account policies and benchmark the routes against the same approval standard your editors already use.
Your portal, scheduler, CMS and approval flow can stay in place. Use the API behind your own interface or let us configure the workflow with you. Expand only after one client policy produces acceptable work and a measurable improvement in cost per approved deliverable.
Read the API docs →Text generation follows the published Lite and Pro token rates below. Track that spend separately for every client, then add retries and editor time to calculate the number that matters: cost per approved deliverable. Configured or embedded workflows are scoped against the task, volume, validation and delivery requirements you bring to the benchmark.
$0.15 in / $1.25 out per 1M tokens
$0.625 in / $5.00 out per 1M tokens
List prices, checked 15 September 2026 · token rate card and calculator
Every claim below is either arithmetic on published rate cards or a fact you can check. We do not publish quality benchmarks we ran on ourselves — we run yours instead.
Client policies are evaluated separately, not averaged into one generic agency prompt.
The benchmark uses each client's own examples, constraints, output format and acceptance checklist. Compare approval and editor time per account before deciding which policy receives production volume.
The same task category can use a different OmevAI route for each client.
Routing happens between OmevAI's own models. Assign the route against the client's context, output and approval requirements, then measure total cost per accepted result rather than choosing one model for the whole roster.
Published token rates let you verify the generation component of client delivery cost.
Lite and Pro rates are shown on this page from the shared rate card. Generation is only one input; add retries and editor time from your own process to calculate the real cost per approved deliverable.
You can benchmark one workflow without replacing the rest of the agency stack.
Keep the current portal, CMS, scheduler, providers and approval process connected. Move a bounded client workflow, compare accepted outputs and expand only when the agency metrics improve.
Chat is useful for one-off drafting. The agency problem is repeating the right client rules, format, validation and delivery steps across a roster. OmevAI turns that repeated operating process into a client-specific workflow instead of asking every specialist to rebuild it manually.
Lite and Pro use the published token rates shown above. A configured or embedded workflow depends on volume, routing, validation and delivery requirements. We price one representative workflow first, while your team measures the full cost per approved deliverable including review time.
Each account has its own policy: instructions, examples, terminology, constraints, output format, acceptance criteria and route. A change to Client A's policy does not rewrite the workflow rules for Client B or Client C.
Yes. The same task category can return CMS fields, scheduler-ready structures, JSON, Markdown or the client's own column layout. The required format is part of that client's policy and validation.
No. Specialists still set direction, define the rules and approve what reaches the client. The workflow handles repeatable production, formatting, routing and first-pass validation so their time goes into judgement instead of setup and copying.
Start with one task category and representative samples from up to three clients. Setup depends on how clearly the rules, accepted outputs and review criteria are documented. We map the workflow and identify any connection required before you move production volume.
Update that account's policy, validation or route without changing the shared task category for the rest of the roster. Test the revised policy on an approved sample before it replaces the previous version.
Yes. Use the API behind your interface and keep the agency or client experience you already own. The configured workflow supplies client-specific routing, output and validation without requiring clients to work inside a separate generic AI app.










Bring one repeated task, up to three client policies and the approval criteria your editors already use. Compare cost per deliverable, editor time and approval rate before moving anything else.
One workflow · real client rules · keep your current stack · Expand only after the approval and margin numbers work