Services · AI agents
AI agents that do the work, with people approving it.
Custom AI agents and automations that answer enquiries, qualify leads, draft documents and route work inside the tools you already use, with a person approving every step that matters.
Capacity without headcount, and leads answered while they are still warm.
You’ll recognise this
- Enquiries arrive after hours and wait until morning for a reply.
- Skilled people spend their day copying, summarising and re-typing.
- You have tried an AI chatbot, and it answered confidently and wrongly.
- Every automation you have works until one step changes, then silently stops.
What it’s costing you
The expensive part is the part nobody invoices.
A lead answered the next morning has often already spoken to someone else. A skilled person spending half the day reading, summarising and re-typing is a salary paid for work software can draft. Both costs stay invisible until you measure them.
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Lever 01
Speed to lead
Agents reply in minutes at any hour, ask your qualifying questions and book the meeting while intent is still high.
Moves: Enquiry-to-meeting conversion
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Lever 02
Capacity without hiring
Drafting, research and routing handled by agents, so your people spend their time on judgement and relationships.
Moves: Revenue per employee
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Lever 03
Consistent quality
Every reply follows your rules and tone, with its source shown and a person approving anything that matters.
Moves: Errors, rework and response quality
Built for
Who brings us this work.
The people who usually start these engagements, what they are measured on, and the question they arrive with.
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Agencies & consultancies
Founders and operations leads at agencies and consultancies running many clients at once.
Measured on: Margin per client, utilisation and retention
- Every client lives in a different mix of tools, and account managers spend hours on status updates.
- Reporting is assembled by hand each month, so senior people do junior work.
- New business depends on referrals, because nobody has time to run outbound properly.
What changes: More billable hours per head and clients who can see the work without asking for it.
“We have tried tools before and the team went back to spreadsheets.”
We build around how your team already works, start with one workflow and release it early, so adoption is earned before anything else is built.
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Founder-led B2B service firms
Founders of B2B service businesses whose sales and delivery have outgrown the founder’s inbox.
Measured on: Pipeline, win rate and revenue per employee
- Leads arrive faster than anyone can answer them, and the best ones go cold over a weekend.
- The CRM is half-filled, so forecasting is a guess and follow-up depends on memory.
- Growth means hiring, because every process still needs a person in the middle of it.
What changes: A pipeline that answers, qualifies and follows up on its own, and a business that can grow without adding headcount at the same rate.
“We are not a tech company. Custom software sounds like a large, risky project.”
Engagements start with a short scoping sprint and a fixed scope for the first build. You see working software early and decide each next step on evidence.
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Ops, sales & growth leaders
Heads of operations, sales or marketing inside mid-size companies, with a mandate and no spare engineering team.
Measured on: Cost to serve, cycle time and cost per acquisition
- IT has a long queue, and your team’s workflow is not at the top of it.
- You are paying for overlapping SaaS that still does not match how your team works.
- Leadership wants AI in the business, with no clear view of where it is safe and useful.
What changes: The system your team needs, delivered alongside IT rather than queued behind it, with security and ownership handled properly.
“Will it pass our security review, and who supports it afterwards?”
We build in accounts you control, document everything, work to your security requirements and either run it with you or hand it to your team.
Before and after
The same week, run two ways.
Today
- Enquiries wait overnight for a reply
- Skilled people re-type and summarise all day
- Quality depends on who picked it up
- Automations break silently
With the system in place
- Every enquiry answered in minutes
- People review drafts instead of writing them
- Every reply follows the same rules
- Every action logged, with approvals
What we build
AI agents, designed around your work.
AI agents that answer, qualify, draft and route work inside your tools, with people approving what matters.
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Inbound response agents
Agents that reply to enquiries on WhatsApp, email or your website, ask your qualifying questions and book the meeting.
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Outbound and research agents
Agents that find the right people, research each one and draft a first message for a person to approve.
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Document and drafting agents
Proposals, summaries, replies and reports drafted from your own records and templates, ready for review.
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Workflow automation
Multi-step automations across your tools that route, check and update work, and say clearly when they cannot.
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Knowledge assistants
Answers grounded in your documents, policies and past work, with the source shown next to every answer.
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Monitoring and review
Every action an agent takes logged and reviewable, with limits, approvals and a switch that pauses everything.
- WhatsApp & email
- Website & ads
- CRM records
- Your documents
AI agent with approvals
Built for one business, owned by it
- Drafted replies
- Qualified leads
- Booked meetings
- Updated records
Working thesis
Where AI earns its place.
AI is worth using where the work is repetitive and the result is easy for a person to check: a reply, a summary, a first draft, a classification. It is a poor fit where one wrong answer is expensive and nobody is looking.
So every agent we build has an owner, limits and an approval step for anything that leaves the building. Autonomy is something an agent earns, one workflow at a time.
Built in-house
We build this for ourselves first.
Scribbify runs software products of its own. Each one is the same kind of work, tested on our own business before yours.
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How it runs
Working software early. Then the next step.
Phases, not promises: every engagement starts with a scoping sprint, and each step is decided on evidence.
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01
Weeks 1–2
Pick the workflow
Choose one repetitive, checkable task, agree the rules and the measures, and design the approval steps.
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02
Weeks 3–6
Agent in supervised use
The agent drafts and a person approves every step, so it proves itself on real work.
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03
Ongoing
Widen what it may do
Approvals relaxed step by step as the evidence supports it; new workflows added on the same foundation.
Works with the tools you keep
- OpenAI
- Anthropic Claude
- Google Gemini
- WhatsApp Business
- Gmail
- Outlook
- Slack
- HubSpot
- Google Sheets
- n8n
- Make
- Zapier
Build, buy or configure
An honest comparison.
Sometimes software you can buy is the right answer, and we will say so. This is how we weigh it.
| What matters | Off-the-shelf SaaS | Low-code builder | Scribbify build |
|---|---|---|---|
| Fits how your team actually works | Partly: You adapt to its fields | Partly: Until the rules get complex | Yes: Designed around your workflow |
| You own the code and the data | No: Rented | Partly: Locked to the platform | Yes: Yours, documented |
| Joins every tool you already use | Partly: Where integrations exist | Partly: Simple connections | Yes: Any API or export |
| Cost stays flat as you hire | No: Priced per seat | No: Priced per seat | Yes: No per-seat licence |
| AI agents with approvals built in | Partly: Generic assistants | Partly: Add-ons | Yes: Built for your rules |
| Someone accountable for the outcome | No: A support ticket | No: Your own team | Yes: Measured with you |
Questions
Before you write.
What is an AI agent, in practical terms?
How do you stop an agent from getting things wrong?
Which AI models do you use?
Is our data used to train AI models?
Can we start small?
Do you build on n8n, Make or Zapier?
Start a project
Talk to us about AI agents.
Tell us where the work or the revenue gets stuck. A partner replies within one business day.
Other services
Start a project
Start with one workflow.
A few lines are enough. A partner reads every enquiry and replies within one business day.
Tell us where the work gets stuck.
Send a few lines on the workflow, the tools it runs on and what it costs you. We will tell you plainly whether building is worth it.
Or write to us at [email protected]