AI Agents and Assistants
What is an AI agent? A plain-English guide for business owners
What an AI agent is, how it works, where it helps a small business, the risks, and a 7-point check to see if you are ready for one.
Oversight
AI Approval Assistant
A summary of exactly what changed and what needs attention, so a reviewer decides in seconds, not minutes.
Reviewers slow down when every item arrives as a wall of detail, and rushed approvals miss things. AI Approval Assistant prepares each item before a person opens it: a plain summary of what the AI proposed, what changed and what it was unsure about. Your reviewer still approves, edits or rejects, just with the important parts already in front of them.
- Each review item summarized before a person opens it
- Uncertain or unusual details flagged at the top
- Reviewers stay in charge of every final decision
$2,400
20–30 working days
Optional maintenance $249/mo
What it is
AI Approval Assistant sits next to your existing review step and prepares each item before a person looks at it: a plain summary of what the AI proposed, what it flagged as uncertain, and what most needs their attention. It does not decide or gate anything itself.
Why businesses buy it
Human review is only a safeguard if reviewers have the time and focus to do it well. When each approval means digging through records to work out what changed, queues back up and people start approving on trust. A short, consistent summary with the risky parts highlighted lets reviewers decide quickly without cutting corners. The written scope covers one workflow, up to three connected systems and the fields and flags shown, agreed before you order, so you know exactly what reviewers will see.
Problems this solves
Reviewers read long AI outputs line by line to find what matters
Before a reviewer opens an item, the assistant prepares a plain summary of what the AI proposed. They get the gist first and can spend their attention on the decision itself.
Uncertain parts of an AI proposal look as confident as the rest
The assistant points out what the AI flagged as uncertain and what most needs attention. Reviewers stop guessing which line to double-check, and your approval steps stay exactly as they are.
A new approval tool would mean retraining every reviewer
The assistant runs in the background beside the review step you already use, connected to up to three systems. It never decides or gates anything, so your approval process does not change.
A good fit if
You already have reviewers approving AI-proposed work, but they spend most of their time reading the raw output before they can decide.
The same few things usually matter most in a review, like a price, a promised date or a policy exception, and you want those surfaced first.
Your reviewers handle a high volume of similar items, and a few seconds saved per item adds up across a day.
You want reviewers making the actual approve, edit or reject call themselves, with better information, not an AI making it for them.
Not the right fit if
You do not yet have an approval step at all. See the already-published Human Approval Workflow, which builds the gate itself before this build has anything to sit next to.
You want the queue that holds and assigns items waiting for review, not a summary layered onto an existing one. See Agent Review Queue.
The bottleneck is genuinely failed or unresolved AI runs, not slow approvals on runs that completed. See Agent Exception Handler.
You need this specifically for support replies awaiting an agent's sign-off before sending. See Human-in-the-Loop Support Agent, which is built around that workflow.
How it works
- Every item that reaches your existing approval step is read by the assistant first: what the AI proposed, and any source material it used to propose it.
- A short summary is written for the reviewer: what changed from a standard case, what the AI is confident about, and what it flagged as uncertain or unusual.
- The few fields that matter most for a decision, such as a price, a promised date or a policy exception, are pulled out and shown first, not buried in the full text.
- Similar past decisions, if you want them shown, appear alongside the current item so a reviewer can see how a comparable case was handled before.
- The reviewer still makes the actual call, approve, edit or reject, inside the tool they already use, such as Slack, Microsoft Teams, email or your helpdesk.
- Every summary and the decision made against it are logged, so you can see whether faster reviews are also holding up over time.
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.
- Your business information (company basics, hours and brand voice), shared during intake.
- The workflow and the existing approval step the assistant will prepare items for.
- A written description or screen recording of how a reviewer decides today.
- Five to ten real sample items, so summaries are built against genuine cases, not guesses.
- The specific fields or flags that matter most when your reviewers decide.
- 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.
- One decision-maker who can approve the summary format before 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 and the fields that matter most to a reviewer agreed with you.
Weeks 1–2
Systems connected and the summary format built.
Week 3
Flagging rules configured for what counts as uncertain or unusual.
Weeks 3–4
Twenty test runs on your sample data.
Week 4
Your review and two rounds of changes.
Go-live
Live, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $2,400 |
| Express | 15–25 working days | $2,900 |
| Rush | 10–20 working days | $3,350 |
What you receive at handover
- The approval assistant running in the background next to your existing review step
- Summary and flagging prompts, with guardrails, inside one workflow of up to twelve steps
- Connections to up to three of your systems
- A test report from twenty runs on your sample data
- An admin guide, the recorded handoff session and 30 days of support
Expected benefits and how to measure them
- Reviewers can reach a decision sooner with the key points laid out.
- Helps reviewers notice uncertain parts they might otherwise skim past.
- Keeps your current approval process and ownership unchanged.
- Review time per item
- Time a sample of reviews in the two weeks before launch, then repeat with the assistant in place.
- Corrections made at review
- Count reviewer corrections each week from your approval records, before and after launch.
- Issues found after approval
- Count problems discovered after an item was approved, for the month before launch and the month after.
Before you start: Time a sample of reviews and note how many items each person handles per day. Record issues that were missed at review recently.
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 Approval Assistant afterwards costs roughly $20 to $100 a month in your own accounts, covering the automation platform and the AI usage spent preparing each summary. AI usage during the build and testing is billed the same way, directly to your accounts, so every provider relationship stays yours.
Ask about running costsCustom requirements
If your summary rules go past 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, with a monthly allowance of change hours to adjust which fields get surfaced or how a flag is worded. It starts after the 30 days of support and can be cancelled any month.
$249/mo (the minimum fee, includes 2 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 bundles summarization behind a per-seat fee | An agency quotes this kind of build after discovery calls | Ours is one fixed price, shown on this page before you buy |
| Scope | A generic tool summarizes everything the same way, not your specific fields | An agency agrees scope during the project | Ours is built around the fields your reviewers actually check |
| Delivery | A generic assistant still needs real configuration before summaries are trustworthy | An agency build usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Control | Some tools quietly auto-approve low-risk items without telling you | An agency deliverable depends on what was agreed | Ours never decides; your reviewer always makes the call |
Questions about this product
How much does AI Approval Assistant cost?
The build is one fixed price, and you can see it with each delivery speed in the panel on this page. It covers the Scope Card in full: one review workflow, the summary and flag format your reviewers see, and up to three connected systems the items come from. The automation platform and AI usage for each summary are paid in your own accounts.
Does AI Approval Assistant replace our approval step?
No. It sits next to the approval step you already have, or one built through the already-published Human Approval Workflow, and prepares each item before your reviewer sees it. The reviewer still approves, edits or rejects; this build only makes that decision faster to reach by surfacing what matters first.
What does AI Approval Assistant cost to run each month?
Running it afterwards costs roughly $20 to $100 a month in your own accounts, covering the automation platform and the AI usage spent preparing each summary. There is no separate license fee on top of that figure. The exact cost depends on how many items pass through review each month.
What access does AI Approval Assistant need to my systems?
We need admin or API access to each system the reviewed items come from, shared by adding our team as a user or creating a key you control, never by email. A written description of how a reviewer decides today, plus five to ten real sample items, lets us build summaries and flags that reflect genuine cases, not generic guesses.
Can we change which fields get surfaced later?
Yes. Adjusting which fields appear first, or how a flag is worded, usually fits inside the monthly change hours that come with maintenance. Adding a whole new workflow beyond the one in scope, or a fourth connected system beyond the three included, goes through a Change Quote agreed before that work starts.
Can we cancel the AI Approval Assistant maintenance later?
Yes. Maintenance has no lock-in, so you can cancel any month once the 30 days of included support has ended. Unused hours do not roll over. If your fields and flags change a lot, bigger changes can go through a Change Quote.
Does the assistant ever make the approval decision itself?
No, and that is deliberate. It writes the summary and highlights what needs attention, but the approve, edit or reject decision always stays with the person you name as reviewer. If you eventually want conditional auto-approval for low-risk cases, that is a separate scope discussed through a Change Quote.
Guides on this topic
All guides Give your reviewers the short version, not the wall of text.
Order AI Approval Assistant today and it goes live on a fixed delivery date. The scope above is exactly what you get, in writing, before you pay.
Works well with
Oversight
Agent Exception Handler
Catches technical failures in AI runs, such as errors, timeouts and unusual runs, and routes them for resolution.
Oversight
Agent Quality Control
Samples and scores output from any of your AI agents against one quality standard.