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Services · AI agents

AI agent development services, with people approving the work.

If your team spends hours answering the same messages, qualifying leads or turning notes into documents, we build AI agents that do that work inside the tools you already use, with a person approving every step that matters, so your people spend their time on clients.

Start a project How it pays back

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.

01 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. For example, an enquiry that arrives at 9pm on a Friday and gets its first reply on Monday morning has waited more than two and a half days.

  1. 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
  2. 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
  3. 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

02 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.

  • Agency & consultancy owners

    You run an agency or consultancy with many clients at once, and your margin disappears into reporting, onboarding and status updates.

    You watch: Margin per client, team hours and client retention

    • Your account managers spend the first week of every month building client reports by hand.
    • Every new client means a dozen emails chasing logins, files and approvals before work starts.
    • New business still depends on referrals, because nobody has time to prospect.

    What changes: Reports and onboarding that run on their own, more clients per account manager, and new business that doesn’t wait for referrals.

    “We have bought tools before, and the team went back to spreadsheets.”

    We build around how your team already works, start with the one job that costs most, and release it early, so people use it because it saves them time.

  • Founders of B2B service firms

    You founded a B2B service business, and sales and delivery have outgrown your inbox, your memory and your best salesperson’s phone.

    You watch: Pipeline, win rate and revenue per person

    • Enquiries arrive faster than anyone can answer them, and the good ones go cold over a weekend.
    • The CRM is half filled in, so your forecast is a guess and follow-up depends on memory.
    • Every new client seems to need another hire, because a person sits in the middle of every step.

    What changes: Every lead answered and followed up, a pipeline you can believe, and growth that doesn’t need a new hire for every few clients.

    “We are not a tech company. Custom software sounds big and risky.”

    We start with a short, fixed scoping sprint and one small build. You see it working within weeks and decide every next step on what it did.

  • Owners of local & consumer service businesses

    You run a travel agency, clinic, real estate brokerage, training business or similar, where customers arrive on WhatsApp, calls and ads, often out of hours.

    You watch: Enquiries answered, bookings and repeat customers

    • Most messages arrive in the evening or at weekends, when nobody is there to reply.
    • Quotes and bookings are followed up when someone remembers, so customers drift to competitors.
    • The same customer questions take up your front desk’s whole day.

    What changes: Every enquiry answered in minutes, quotes followed up until customers decide, and a team that spends its day on the customers in front of it.

    “Will AI say the wrong thing to my customers?”

    It only answers from information you approve, hands anything sensitive to a person, and every conversation can be reviewed. You decide how much it may do on its own.

03 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

04 In your business

What this looks like on an ordinary week.

Three situations owners tell us about, and what changes once this is in place.

  1. Scenario 01

    The inbox that never empties

    Say your team spends the first two hours of each day answering the same kinds of emails: availability, prices on the website, “did you get my documents?”. The real work starts at eleven.

    With it in place: An agent drafts the routine replies from your own information, your team approves them in seconds, and the morning goes to real work.

  2. Scenario 02

    Briefs that turn into proposals

    Say every new enquiry arrives as a long email or a call note, and a senior person spends an evening turning it into a first proposal. Good clients wait, and the senior person burns out.

    With it in place: An agent turns the brief into a first draft in your format, and the senior person spends twenty minutes improving it instead of three hours writing it.

  3. Scenario 03

    Data typed in by hand

    Say supplier invoices, application forms or client documents arrive as PDFs, and someone retypes the key details into your systems. It is slow, and typos cost money later.

    With it in place: An agent reads the documents, fills in the fields, and flags anything it isn’t sure about for a person to check.

05 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.

  • Inbound response agents

    Agents that reply to enquiries on WhatsApp, email or your website, ask your qualifying questions and book the meeting.

  • Outbound and research agents

    Agents that find the right people, research each one and draft a first message for a person to approve.

  • Document and drafting agents

    Proposals, summaries, replies and reports drafted from your own records and templates, ready for review.

  • Workflow automation

    Multi-step automations across your tools that route, check and update work, and say clearly when they cannot.

  • Knowledge assistants

    Answers grounded in your documents, policies and past work, with the source shown next to every answer.

  • 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
Sources: WhatsApp & email, Website & ads, CRM records, Your documents. The system: AI agent with approvals. What it produces: Drafted replies, Qualified leads, Booked meetings, Updated records.

06 Specialist services

Within AI agents.

Narrower builds with their own buying decisions. Each has its own page with how it works, what it connects to and the questions owners ask.

07 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. An agent earns more freedom one job at a time.

08 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.

Our approach
  1. 01

    Weeks 1–2

    Pick the job

    Choose one repetitive, checkable task, agree the rules and the measures, and design the approval steps.

  2. 02

    Weeks 3–6

    Agent in supervised use

    The agent drafts and a person approves every step, so it proves itself on real work.

  3. 03

    Ongoing

    Widen what it may do

    Approvals relaxed step by step as the evidence supports it; new jobs 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

09 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.

  • LeadSpidey · AI SDR for inbound leads

    An AI SDR that answers inbound leads on WhatsApp and email, qualifies them in conversation and books meetings, at any hour.

    About LeadSpidey

  • Prosvano · LinkedIn automation

    An always-on lead agent that proposes segments, finds people and drafts outreach, with nothing sent before a person approves it.

    About Prosvano
LeadSpidey’s homepage: an AI SDR that answers inbound leads on WhatsApp or email.

10 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.

How a Scribbify build compares with off-the-shelf software and low-code builders
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: Built around how you work
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

11 Questions

Before you write.

Other services

What is an AI agent, in practical terms?
Software that reads a situation, decides on a next step and takes it using your tools: replying to an enquiry, updating a record, drafting a document. Unlike a chatbot, it works inside your systems, and unlike a fixed automation, it can handle variation.
How do you stop an agent from getting things wrong?
By design rather than hope. Agents work from your own data, inside limits you set, and anything that leaves the business waits for a person to approve it until the agent has shown it can be trusted with that step. Every action is logged.
Which AI models do you use?
Whichever suits the task and your data rules: models from OpenAI, Anthropic, Google or open-weight models you host yourself. We keep the agent independent of one provider so the model can change without a rebuild.
Is our data used to train AI models?
We use providers and settings that do not train on your data, and we can keep sensitive data in your own infrastructure. We agree data handling with you before anything is built.
Can we start small?
Yes, and we recommend it. Start with one job that is repetitive and easy to check, run the agent with full approval, and widen what it may do as it proves itself.
Do you build on n8n, Make or Zapier?
When they fit. Simple automations are often best on those tools. We write custom code when an agent needs real decision-making, its own interface, or reliability those platforms cannot give.

Start a project

Talk to us about AI agents.

Tell us where the work or the revenue gets stuck: the job, the tools it runs on and what it costs you. We will tell you plainly whether building is worth it.

  • A partner reads every enquiry
  • A 45-minute working call
  • A written scope you can decide on

Or write to us at [email protected]

All services

For example: enquiries wait overnight before anyone replies, delivery re-enters what sales already collected, or the weekly report takes hours to put together.

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