Agencies
AI Agency Operations OS
Connects agency onboarding, delivery, reporting and knowledge into one system with shared client data and approval rules (no sales or proposal agents).
Agencies
AI Agency Delivery Agent
Finished client deliverables are packaged, routed to the right approver, and tracked through every revision until final sign-off.
The last mile of agency work is where things get lost: the wrong file version, an approver who never saw it, revision notes scattered across email. AI Agency Delivery Agent packages finished deliverables, routes them through your internal sign-off and then to the client, and tracks every revision round to final approval. Each handoff follows your checklist and your rules.
- Final assets packaged and routed to the right approver
- Every revision round tracked against the original deliverable
- Handoff checklists between strategy, creative and delivery
$8,300
20–30 working days
Optional maintenance $415/mo
What it is
AI Agency Delivery Agent takes a finished client deliverable, packages the final assets, routes them to the right approver, and tracks every round of revisions until the client signs off. Handoff checklists between strategy, creative and delivery teams keep each step complete, and anything outside your rules goes to a person.
Why businesses buy it
Great work can still disappoint a client if it arrives late, in the wrong format or without the changes they asked for. Every messy handoff costs your team time and costs the client confidence. AI Agency Delivery Agent makes the finish line predictable: the same checklist, the same approval chain and a full revision history for every deliverable. The Scope Card sets the workflows, the connected systems and your sign-off rules before you buy, so you know exactly how it will behave.
Problems this solves
Final files reach clients scattered across emails, drives and chat threads
The agent packages the final assets for each finished deliverable and sends them through one agreed channel. Clients receive a complete set each time, rather than links pieced together by whoever is free.
Approvals stall because nobody is sure who signs off next
Up to six workflows carry your own approval rules, so each deliverable is routed to the right approver. Anything outside those rules goes to a named person on your team instead of waiting in limbo.
Revision rounds blur together and old feedback gets acted on twice
Every round of revisions is tracked against the deliverable until the client signs off. Your team can see which comments belong to which round, and what is still open, without rereading long threads.
Handoffs between strategy, creative and delivery drop small but costly steps
Handoff checklists sit between your strategy, creative and delivery teams, so each stage is marked complete before the next begins. Missing items surface early, while they are still quick to fix.
A good fit if
Finished creative or content deliverables currently sit in someone's inbox waiting to be packaged, sent for approval and chased through revisions.
You want up to six workflows covering final asset packaging, approval routing and revision tracking, under the approval rules your account leads already follow.
You already have a playbook for what counts as ready to send, sign-off limits, revision policy, that a build can apply rather than guess.
You want revision history and approval status visible in one place, instead of scattered across email threads and attachment versions.
Not the right fit if
You need the content or creative itself produced, not the handoff of a finished piece. See AI Agency Content Engine.
You need day-to-day task and deadline tracking across a campaign, not the final delivery step. See AI Agency Project Manager.
You need deliverables checked against the original brief before they're packaged for client approval. See AI Agency QA, which can run earlier in the same process.
You need more than six connected workflows or more than two systems with write access. Add a note at checkout for a written Change Quote, or start from our Custom AI enquiry form.
How it works
- A deliverable is marked ready. Once your team flags a piece of creative or content as final, up to two connected systems with read and write access pick it up, typically your project tool and a client-facing drive or CRM.
- Final assets are packaged. Files are assembled into the format and naming convention your client expects, whether that's a single package or a set of formats for different channels.
- The package routes to the right approver. Internal sign-off, then the client's own reviewer, follows the approval chain your playbook sets, across up to six workflows.
- Revisions are tracked, not lost in email. Every round of feedback and every new version is logged against the original deliverable, so nobody is working from an outdated file.
- Sign-off is captured and the record closes. Once the client approves, the final version and its approval history are stored where your team expects to find them later.
- 50 documented test scenarios, including a rejected draft and a multi-round revision, confirm the handoff holds up before it runs on live client work.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Admin or API access to the systems it should read and write to, such as your project tool and the drive or CRM clients review deliverables in.
- Your playbook: what counts as ready to send, sign-off limits and your revision policy.
- Ten real examples of past deliverable handoffs or approval threads, so it learns how your team actually routes work.
- The approver named for internal sign-off before anything reaches a client.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker who can approve the workflows and sign off at launch.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, delivery playbook and approval chain confirmed.
Weeks 1–2
The packaging and approval-routing workflows are built around your playbook.
Week 3
Project tool and client-facing drive or CRM connected with read and write access.
Weeks 3–4
50 documented test scenarios run and results sent to you.
Week 4
Your review and two rounds of changes.
Go-live
Live, handover report sent, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $8,300 |
| Express | 15–25 working days | $9,550 |
| Rush | 10–20 working days | $10,800 |
What you receive at handover
- AI Agency Delivery Agent configured and deployed in your environment on one channel
- Workflow, prompt and guardrail configuration for up to six approval workflows
- Read and write connections to up to two of your agreed systems
- A test report covering 50 documented scenarios
- An admin guide and a written handover report
- 30 days of post-launch support
Expected benefits and how to measure them
- Account managers can spend less billable time chasing approvals and files.
- Clients can receive complete handovers with a clear sign-off trail.
- Makes it easier to see where any deliverable sits in its revision cycle.
- Approval turnaround
- Compare average days from deliverable sent to client sign-off in your project tool, for the month before launch and the month after.
- Revision rounds per deliverable
- Count rounds logged by the agent after launch. Compare them with a sample of recent jobs counted from email threads.
- Coordination hours
- Compare time logged to admin or coordination codes in your timesheet tool for four weeks before and after launch.
Before you start: Pick ten recent deliverables and note how long sign-off took and how many revision rounds each needed. Also export a month of coordination hours from your timesheets.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running AI Agency Delivery Agent afterwards costs roughly $50 to $250 a month, covering AI model usage plus hosting, on top of your existing project tool or CRM plan, billed directly in your own accounts.
AI usage during the build and testing is also billed to your accounts, so you keep ownership of every provider relationship. Nothing runs through us.
Ask about running costsCustom requirements
If you need something outside the Scope Card, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Your original order runs on its normal timeline either way. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
We recommend monthly maintenance: monitoring, fixes, and a monthly allowance of change hours, which covers an updated sign-off rule, a new packaging format or added approvers. It starts after the 30 days of support, bills monthly, and can be cancelled any month.
$415/mo (5% of the build price a month, includes 4 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | An approval-workflow tool bills per seat whether a deliverable ships that month or not | An account manager's time chasing sign-off is billed as overhead | Ours is one fixed price, shown on this page before you buy |
| Scope | An approval-workflow tool gives you empty routing rules to build yourself | Routing depends on who's covering that account | Ours is written on the Scope Card before purchase |
| Revision history | An approval-workflow tool depends on everyone using it consistently | Revisions live scattered across email and file versions | Ours logs every round against the original deliverable automatically |
| Delivery | Sign-up is instant, mapping it to your real sign-off chain is not | Typically several weeks before a new coordinator learns the routing | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
How much does AI Agency Delivery Agent cost?
The one-time build price is shown in the price and delivery panel on this page, next to each delivery speed. It covers everything on the Scope Card: up to six workflows, read and write access to two connected systems, your sign-off and revision rules and 50 documented test scenarios before launch. That price holds once your Scope Card is confirmed.
How is AI Agency Delivery Agent different from AI Agency Project Manager?
AI Agency Project Manager covers the broader work of running a campaign: tasks, deadlines and workload across your team. Delivery Agent focuses on the final handoff, packaging finished assets, routing them for client approval and tracking revisions until sign-off. Project Manager runs the campaign, and Delivery Agent handles the finish line.
Does AI Agency Delivery Agent check deliverables against the client brief?
Brief compliance checking is handled by AI Agency QA, which reviews a deliverable against the brief and brand rules before it is marked ready. Delivery Agent picks up from there, packaging the internally approved asset, routing it to the client and tracking revisions. Running QA first and Delivery Agent second covers both steps.
How much does AI Agency Delivery Agent cost to run each month?
Roughly $50 to $250 a month in your own accounts, covering AI model usage plus hosting, on top of whatever you already pay for your project tool or CRM. The figure grows with how many deliverables move through it. The one-time build price is separate and shown in the price and delivery panel on this page.
How long does AI Agency Delivery Agent take to launch?
The price and delivery panel on this page shows the time for each speed, counted from the day your intake is complete and access is verified. Most of the build goes into matching the routing to your real approval chain and testing it across 50 documented scenarios, including revision loops and missing approvers.
What access does AI Agency Delivery Agent need to our systems?
It needs admin or API access, with read and write permissions, to up to two systems, typically your project tool and the drive or CRM clients review deliverables in, plus your playbook on sign-off limits and revision policy. Admin access and API keys are shared by adding our team as a user or creating a key you control, never by email.
Can I add a new packaging format or approval step later?
Small changes, such as a new file format or an added approver, fit inside the monthly change hours that come with maintenance. A workflow beyond the six in scope, or a third connected system, gets a written Change Quote first, before work starts.
Does AI Agency Delivery Agent send deliverables to clients without internal review?
No. Every package routes to the internal approver you named first, following the sign-off chain in your playbook, before it reaches the client's own reviewer. Nothing skips a step you defined, and every revision round is logged against the original deliverable, so the full approval history stays intact and easy to find.
Stop losing deliverables to email threads and file versions.
Order AI Agency Delivery Agent and final assets are packaged, routed and tracked through sign-off on a fixed delivery date. The scope above is what you get, in writing, before you pay.
Works well with
