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How Office Teams at Growing Companies Automate Approvals Across Email, Slack, and ERP Systems

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BrightBots
··6 min read

Every growing company hits the same wall. The team is bigger, the deals are more complex, and suddenly every purchase order, contract, or budget exception needs sign-off from three people across two departments. Someone emails the request, someone else pings back on Slack asking for context, the approver is travelling and misses the thread, and a week later nobody can remember whether the vendor invoice was ever actually approved. Sound familiar? Approval bottlenecks are one of the most expensive invisible problems in mid-sized companies — and they are almost entirely solvable with the right automation.

Why Manual Approval Chains Break Down at Scale

When your company had fifteen people, approvals were informal. You leaned over a desk or sent a quick message. At fifty or a hundred people, that informality becomes a liability. A 2023 Ardent Partners study found that companies processing approvals manually spend an average of 14.5 days on purchase-to-pay cycles, compared to just 3.7 days for organisations using automated workflows. That gap is not just an inconvenience — it delays supplier payments, strains vendor relationships, and can cost you early-payment discounts worth 1–2% of invoice value.

The root cause is almost always the same: your approval process lives across too many disconnected tools. The request starts in email. The discussion moves to Slack. The actual record sits in your ERP (that's your Enterprise Resource Planning system — software like NetSuite, SAP, or Microsoft Dynamics that manages finances and operations). None of these tools talk to each other automatically, so someone has to act as the human bridge, manually copying information between them. That someone is usually a finance analyst or office manager who has better things to do.

What an Automated Approval Workflow Actually Looks Like

An AI-powered approval workflow replaces the human bridge with a software agent — a piece of automation that sits between your tools, watches for triggers, and handles the hand-offs automatically.

Here is what a practical workflow might look like for a purchase order approval:

  1. A team member submits a request — via a simple form, an email, or even a Slack command like /approve-purchase.
  2. The AI agent reads the request and pulls relevant data from your ERP — existing budget, vendor history, spend category — without anyone logging in manually.
  3. The agent routes the request to the correct approver based on rules you define (for example, anything over £5,000 goes to the CFO; anything under goes to the department head).
  4. The approver gets a structured Slack message with all the context they need — amount, vendor, budget remaining, a link to the original request — and two buttons: Approve or Reject.
  5. One click triggers the next step automatically. If approved, the agent updates the ERP record, notifies the requester, and creates a task in your project management tool to process payment. If rejected, it sends a templated message explaining why and logs the decision.
  6. Every action is timestamped and stored, giving you a clean audit trail without anyone manually updating a spreadsheet.

The entire approval, which used to involve four or five back-and-forth messages across different platforms, now takes a single click from the approver. For routine requests, the whole cycle can close in under two hours instead of three to five days.

A Real Example: How a London Consultancy Cut Approval Time by 70%

Momentum Advisory, a 65-person management consultancy based in London, was processing around 80 procurement and contract approvals per month. Their finance team was spending roughly six hours per week just chasing approvers, re-sending attachments, and manually updating their NetSuite ERP to reflect decisions made in email threads.

After implementing an automated approval workflow connecting Slack, Gmail, and NetSuite, the results within 90 days were significant:

  • Average approval cycle time dropped from 4.2 days to 1.1 days
  • Finance team time spent on approval admin fell by 70%, freeing up approximately 18 hours per month
  • Zero approvals were missed or lost in the subsequent quarter, compared to an average of four per month previously
  • The company recovered an estimated £3,200 per quarter in early-payment discounts they had previously been too slow to claim

The change was not about replacing their existing tools — they kept NetSuite, Slack, and Gmail. The automation simply connected them intelligently, so information flowed without anyone manually carrying it.

How to Build This Without a Development Team

The good news is that you do not need to hire engineers to implement this. Platforms like Zapier, Make (formerly Integromat), and n8n allow you to build multi-step automated workflows using visual drag-and-drop interfaces. For more complex, AI-driven logic — where the agent needs to read unstructured text, make conditional decisions, or handle exceptions — tools like Relevance AI or custom GPT-based agents built on the OpenAI API can handle that layer.

A practical starting point for most office teams:

  • Map your messiest approval type first. Pick the one that causes the most delays or involves the most manual chasing. Purchase orders and contractor invoice approvals are usually the best candidates.
  • Define your rules clearly before touching any software. Who approves what, at what thresholds, and what information does the approver need to make a decision? Write this down as if you were training a new employee.
  • Start with a two-tool connection. Before building the full multi-system workflow, automate the single most painful hand-off — usually getting the right information in front of the approver in Slack without them needing to log into the ERP.
  • Build in an exception escalation path. Any good approval automation needs a fallback for unusual requests. Define what "unusual" means and where those go.

Expect to spend two to four weeks scoping and building a basic version, and another two to three weeks refining it based on real usage. A BrightBots engagement typically delivers a working first workflow in under a month.

The cost of building this with specialist support ranges from £3,000 to £8,000 for a mid-complexity implementation — typically recovered within the first two quarters through time savings and recovered discounts alone.

Conclusion

Approval bottlenecks are not a people problem or a culture problem — they are a plumbing problem. When your tools do not talk to each other, humans fill the gaps, and humans are slow, forgetful, and expensive when used as message-relays. Automating the glue work between your email, Slack, and ERP does not require rebuilding how your team works; it just removes the friction that slows everything down. If your finance team is spending meaningful hours every week chasing approvals, that is not a fact of life at a growing company — it is an inefficiency with a clear, buildable fix.

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