Workflow automation

Approval workflow & bottleneck system

Approvals queue on a few people because the rules for who approves what were never written down. We write them — and AI routes each request, classifies it by risk, and flags the overdue ones. A person approves; AI never grants on a risk item.

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Who this is for

B2B

Operations and delivery leads where work sits in a queue waiting for someone's sign-off.

Finance, procurement, and legal teams pulled in to approve things with no clear threshold for what actually needs them.

RevOps and IT teams where requests pile up on a few approvers and nobody knows what's overdue.

Founders and leadership who have become a bottleneck because every decision still routes through them.

People/HR and any team where "who approves this?" is answered by asking around, not by a rule.

Common pain points

Why approvals pile up

What needs an approval — and what doesn't — was never written down, so people escalate things that could have moved on their own.

There is no threshold or risk line, so a low-stakes request and a high-stakes one wait in the same queue for the same senior person.

Requests land in DMs, email, and channels with no single place to see what is pending and what is overdue.

When an approver is away, the work stops, because nobody agreed who covers or what can proceed without them.

Nobody owns the exceptions, so the edge cases bounce between people until someone gives up and decides informally.

Generic automation routes everything the same way, with no sense of risk, so the team stops trusting it and goes back to chasing approvals by hand.

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A rule for who approves what — and AI to route, flag, and recommend the rest

An approval workflow system makes explicit what needs approval, who approves it, under which threshold, and what can be safely delegated. AI routes each request to the right approver, classifies it by risk, flags the ones going overdue, prepares the context the approver needs, and recommends which low-risk approvals can be rule-approved or delegated. A person approves, and a person owns the exceptions — AI never grants an approval on a risk item.

How we work

1
We map what actually needs approval, the real cost of being wrong on each, and who must approve versus what can be delegated under a threshold.
2
We connect AI to route each request to the right approver, classify it by risk, flag the overdue ones, and prepare the context the approver needs to decide.
3
We set the delegation thresholds and the owner for exceptions, and hand over a runbook the team operates and edits.

Next step

Talk through where work waits for sign-off

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What we build

What this work includes

Area 1

An approval matrix: what needs approval, the risk, the owner, and the threshold

We write, line by line, what actually needs an approval, the real cost of being wrong on each, who owns the decision, and the threshold under which it can be rule-approved or delegated. The matrix is agreed with the people who approve today, so it reflects how the work really runs, not an org chart.

Deliverable

An approval matrix: per request type — what, risk level, named owner, threshold, and delegation rule.

Area 2

AI routing and escalation to the right approver

We connect AI to route each incoming request to the approver who owns it, by type and risk, and to escalate the ones going overdue before they stall. Routing follows the matrix, not a guess — and where it is unsure, it asks rather than assumes.

Deliverable

A routing + escalation flow: each request goes to its named approver, with an overdue flag and an escalation path.

Area 3

A safe-to-delegate list with the criteria written down

Not everything needs a senior person. We define which approvals can be rule-approved automatically or delegated under a threshold, and the exact criteria that make them safe — so the low-risk volume stops queuing on the people who should only see the real decisions.

Deliverable

A safe-to-delegate list: which approvals are auto/delegated, under which threshold, with the criteria for each.

Area 4

AI that routes, classifies, flags, and recommends — within written limits

We connect AI to route, classify by risk, flag the overdue, prepare the approver's context, and recommend what is safe to delegate. What AI may never do — grant an approval on a risk item — is written down. AI prepares and recommends; a person approves.

Deliverable

An AI capability map with the limits written: what AI routes/classifies/flags/recommends, and what only a person decides.

Area 5

A threshold and risk rubric for cost-of-being-wrong

We agree how to judge the cost of being wrong on each approval — financial, legal, reputational, operational — and turn it into the thresholds that decide what needs a person versus a rule. The rubric is what keeps the matrix honest as new request types appear.

Deliverable

A risk rubric: how cost-of-being-wrong is judged per approval type, and the thresholds it sets.

Area 6

A runbook the team operates and edits

We hand the system over as a runbook: the matrix, the routing, the delegation rules, the risk rubric, and the AI limits. The goal is for the system to live without us — the team can add a new request type, adjust a threshold, and bring a new approver up to speed without rebuilding it.

Deliverable

A runbook with the matrix, routing, delegation rules, risk rubric, and AI limits the team owns.

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What needs approval — and what doesn't — is written down, so people stop escalating work that could have moved on its own.

Low-risk and high-risk requests no longer wait in the same queue, because the threshold sends each to a rule or a person.

Every pending and overdue request shows up in one place, so nothing stalls quietly waiting on a busy approver.

When an approver is away, agreed delegation keeps the safe work moving, and only the real exceptions wait.

AI routes, classifies, flags, and recommends — and a person approves, with the limit that AI never grants on a risk item written down.

The matrix, thresholds, and AI limits live in a runbook the team operates and edits, not in a few people's heads.

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Answers before we start

Does AI approve things on its own?

No. AI routes each request to the right approver, classifies it by risk, flags the overdue ones, and recommends what is safe to delegate — but a person approves. The rule that AI never grants an approval on a risk item is written into the system, not left to default. Where a low-risk approval is rule-approved, that rule is one you set and can see.

Is this a BPM or workflow-automation tool?

No. We do not sell or build a BPM platform. This is the rule — who approves what, under which threshold — plus the AI routing and the risk rubric, set up in the tools you already use. If a specific tool would genuinely help, we will say so without a referral fee. The work we deliver is the approval logic, not a new platform.

We're not a finance team — is this only for approvals like spend?

No. Approvals stall work in operations, legal and procurement, RevOps, IT, People, and leadership, not just finance. The system is about the rule for who approves what and when — spend approvals are one example of many. We build it around your actual approval bottlenecks, wherever they are.

What about compliance and audit trails?

We design the approval rule and a clear trail of who approved what and when, which usually helps an audit. But we do not sell a compliance or audit product, and we do not replace your legal or compliance review. If you need certified compliance tooling, we will tell you and point you to the right partner.

What if the real problem is the process, not the approvals?

Sometimes it is — if the diagnostic shows the bottleneck is how the whole process is built, we will say so and point you to a workflow audit rather than sell an approval system as the answer. We do not dress one problem up as another.

What does this work NOT include?

It does not include a BPM/workflow-automation platform, an AI that grants approvals on risk items, a compliance or audit-certification product, or a reorganisation of who reports to whom. It also does not include legal review of your approval policies. If what you need is one of those, we will tell you and point you to the right partner.

Ready to stop work waiting for sign-off?

Book a 30-minute call to look at where approvals are stalling your work. We will talk through what actually needs an approval, what could be delegated under a threshold, and where AI can route and flag — and what the team can realistically run. If the real bottleneck is the process itself, we will tell you and point you to the work that fits.

Book a 30-min call

Approval workflow & bottleneck system

Why approvals pile up

A rule for who approves what — and AI to route, flag, and recommend the rest

What this work includes

An approval matrix: what needs approval, the risk, the owner, and the threshold

AI routing and escalation to the right approver

A safe-to-delegate list with the criteria written down

AI that routes, classifies, flags, and recommends — within written limits

A threshold and risk rubric for cost-of-being-wrong

A runbook the team operates and edits

Answers before we start

Does AI approve things on its own?

Is this a BPM or workflow-automation tool?

We're not a finance team — is this only for approvals like spend?

What about compliance and audit trails?

What if the real problem is the process, not the approvals?

What does this work NOT include?

Related solutions

AI workflow audit

AI tool inventory and approval

AI governance

Ready to stop work waiting for sign-off?