Conversations that act.AI agents that run inside your business, not tools you have to learn.
Built, run and improved by us across customer service, sales and retention, inside the systems you already use.
45 minutes with Silviu, the founder. No pitch.
- Live with a UK fibre ISP
- ~5:1 monthly return
- 71% of cancellation requests saved
- Broadband and telecoms
- Energy and utilities
- Housing and property
- Insurance and financial services
- Retail and e-commerce
- Travel and hospitality
- Subscription businesses
02The problem
Four problems every operator hits.
More tickets. Same team.
You can't hire fast enough to match the curve, so the wait gets longer at exactly the moment a customer is deciding whether you are any good.
Out-of-hours goes unanswered.
Demand doesn't wait for 9am. Most of it, and the sale attached, is gone before anyone reads it. The customer does not read it as your office being shut. They read it as being ignored.
The chatbot made it worse.
It deflects under one in five and irritates the rest. Customers now distrust the channel on sight, and that distrust carries into every conversation you have after it.
The build never finished.
Your specialist left at 60% done. What's left is a liability no one will put their name to, and customers are the ones meeting it.
03Case study
How a leading UK ISP built a platform that returned about 5:1 a month.
The figures below come from a single reporting window of their first five months. Across it, the platform fully resolved over 40% of inbound conversations, captured thousands of out-of-hours enquiries the team would have lost, and gave the team back roughly two people's worth of time every month. The return over that window ran at roughly 5x the monthly investment.
- Monthly return on the investment
- ~5:1
- Cancellation requests saved through the agent
- 71%
- FTE-equivalent of team time absorbed each month
- ~2
That was a point-in-time report rather than a live dashboard, and the deployment has moved on since. We quote it because it is the cleanest evidence we have that the model works, not as a forecast of what yours would do.
Want this for your business? Book a call04AI agents in plain English
Watch the agent run a real case.
Pick a case. Same backbone, different jobs.
- ListensEvery channel, in real time
- UnderstandsYour knowledge, your CRM, your policies
- ActsQualifies, troubleshoots, renews, saves, escalates
Choose a case
05Customer operations at scale
Handover any conversation, fully briefed.
Every handover arrives with the account already filled in: who they are, what they pay, what they have asked before, and why the agent stepped back. Your team reads the brief, not the backlog. From the same screen they can fire the workflows that finish the job, whatever the conversation turns out to need.
The brief arrives before the conversation does.
See how it hands over. Ask our agent something it cannot answer.
06The family
One platform. Every team that touches the customer.
Same platform, different outcomes. Each lane plugs into the team that owns the metric, integrations and escalation shaped to its playbook.
InboundAll departmentsCustomers come to you
The front door, answered in full.
Everything that arrives on its own: the questions, the faults, the sales enquiries, the calls out of hours. Resolved end to end where it can be, handed over fully briefed where it cannot.
Inbound text agent
Resolves messages end to end
Voice / Call Triage
Triages calls before they ring
Live Handover Dashboard
Your team picks up fully briefed
Outbound / triggeredDepartment specificYou reach out, they reach back
Revenue you're currently losing, at the moments you're losing it.
Inbound handles the customers who come to you. These engines go and catch the ones who don't. Each one fires automatically on an event in your systems and turns a one-way notification into a real conversation.
Renewals
Works every renewal window
A contract nears its end
Retention
Saves leavers inside the hours that matter. Around 71% of customers actively signalling they want to leave, held.
A customer wants to cancel
Sales Follow-Up
Chases every cold prospect
A prospect goes cold
Customer Feedback
Turns feedback into action
An install completes
Campaign Engine
Outbound reach on demand, any objective
A campaign needs to go out
InternalEmployeesYour team reaches in
The expert your team asks first.
Your own internal expert, sitting with the team on every conversation.
Agent Copilot
Every agent, at their best
You don't buy all of this. You start with one, prove it, and expand from there.
You start with one agent. Find out which one on a 45-minute call.
07Stack-friendly
Vendor-agnostic. API-deep. Built around your stack, not ours.
No rip-and-replace. No tenant lock-in. The integration layer is part of the build.
- CRM
- Salesforce
- HubSpot
- Pipedrive
- Dynamics 365
- Zoho CRM
- Attio
- Custom integration
- Helpdesk
- Zendesk
- Intercom
- Freshdesk
- Front
- Help Scout
- Telephony
- Twilio
- AWS Connect
- Genesys
- Vonage
- Comms
- Slack
- Microsoft Teams
- Zoom
- Webex
- Messaging
- WhatsApp Business
- Facebook Messenger
- SMS / iMessage
- Telegram
- AI / LLM
- OpenAI
- Azure OpenAI
- AWS Bedrock
- Gemini
- Data
- Snowflake
- BigQuery
- Postgres
- MySQL
- Databricks
- Billing & ops
- Stripe
- GoCardless
- NetSuite
- Xero
- QuickBooks
- Sage
If it has an API, a webhook, a database, or a CSV drop, we'll wire it in. Including the proprietary internal tool no one else has touched in five years.
Most engagements include 4 to 8 system integrations. The largest to date wires in 17. Auth, retries, rate-limits, observability, fallback paths: all handled by us, not your engineering team.
08How it works
Four steps from first call to live agent.
weeks from kickoff
01Understand1 week
Learn your workflows from the inside.
02Build3 to 5 weeks
Around your reality, integrated into your stack.
03Deploy1 to 2 weeks
As live infrastructure, with human handover from day one.
ImproveOngoing
Continuous optimisation is the model, not an upsell.
- 01Understand1 week
Learn your workflows from the inside.
- 02Build3 to 5 weeks
Around your reality, integrated into your stack.
- 03Deploy1 to 2 weeks
As live infrastructure, with human handover from day one.
- ImproveOngoing
Continuous optimisation is the model, not an upsell.
Typical first agent live in roughly 8 weeks, depending on your stack. Your AI capability compounds from there.
Week one starts with a 45-minute call.
09Why Fiveleaf
Built like an in-house team. Without the hiring.
We build it for you.
No internal AI team required. No new platform to learn. You get the outcome, not another tool to manage.
Embedded, not external.
We work like a member of your team, not like an outside vendor. Direct channel access, weekly cadence, free conversations with whoever needs to be in the room. Your AI specialist, not your AI vendor.
We tune for how it lands, not just what it closes.
Resolution rate is easy to move by giving customers nowhere else to go. We read the transcripts, watch satisfaction and recontact alongside it, and treat a contained conversation that left someone annoyed as a failure rather than a win.
Vendor-agnostic and stack-friendly.
We integrate into your CRM, helpdesk, telephony and ticketing. Whatever you already run. No rip-and-replace.
Fully hosted, GDPR-aligned, no infra burden.
UK-based, DPA as standard, EU data residency available. Your team owns the outcome; we own the plumbing.
We don't disappear after launch.
Continuous improvement is the model, not an upsell. Weekly check-ins, monthly performance reviews, expansion to new agents as the partnership matures.
Built once, bolted onto every brand you acquire.
A layer you bolt onto each brand you acquire. More mergers means more value each time, not a rebuild.
10Commercials
Priced against what it does, not who logs in.
A conversation allowance, plus overage.
You pay for what the agents handle, not for how many people have a login. It scales with usage rather than headcount.
Unlimited users.
Every agent, supervisor and manager who needs the dashboard has it. Seats are never the thing that stops you rolling it out wider.
Billing starts at go-live, not at signature.
The build is billed separately. The monthly doesn't start until the agent is actually working.
What it returns.
Our average deployment returns 5 to 1.
11Founder
Fiveleaf is built and run by Silviu Major. 10+ years building automation systems inside enterprise SaaS, now applying that same operational rigour to AI implementation for mid-market businesses. Every Fiveleaf engagement runs through Silv personally. You're not handed off to a junior account manager three weeks in.
Most internal AI builds stall at 60% complete. We ship, and we stay.
12Book a call
Stop adding seats. Start being easy to deal with.
45-minute discovery call. No pitch. We'll tell you whether AI agents fit your business, and where they would make the experience worse.
Silviu Major
Founder, Fiveleaf
- 45 minutes
- Google Meet
- No pitch, no slides
The calendar opens right here. No new tab.
We write up what we learn running these agents in production: what worked, what cost more than it should have, and the numbers behind it. No sequence, no pitch, and you can stop at any time.
13FAQ
Questions buyers actually ask.
Including the one most vendors avoid: what happens to the customers it gets wrong.
What happens if you're unavailable, or Fiveleaf stops trading?
You are never locked in to one person. You get operational access to everything we run for you, documentation of how it is built, and 90 days of transition support if you ever move it in-house or to someone else. What is yours stays yours, and the boundary is written into the contract.
How long until the AI agent is live?
A first agent is typically live in roughly 8 weeks from kickoff, depending on your stack: about a week understanding your operation, three to five weeks building and integrating, then one to two weeks deploying with human handover from day one. Second and later agents typically ship in 1 to 3 weeks on the platform already in place.
Will the AI replace our human agents?
No. The point is to absorb the volume your humans shouldn't be handling: repetitive tickets, after-hours enquiries, low-touch sales. Your team focuses on the conversations that actually need a human. Most clients keep the same headcount and grow capacity instead.
What systems do you integrate with?
Whatever you already run. Common stacks include Zendesk, HubSpot, Salesforce, Freshdesk, Intercom, Twilio, AWS Connect, custom CRMs and billing platforms. If it has an API, a webhook, a database, or a CSV drop, we can plug into it.
What does it cost?
Bespoke, scoped to channels, volumes and integration depth. Most engagements run between £1,000 and £4,000 monthly per agent, with a one-off build component up front. Roughly the cost of a single customer service hire, and the platform compounds as more agents are added. We'll scope yours on the discovery call. No obligation.
Is the data secure? Is it GDPR-compliant?
Yes. We work under a DPA as standard, and hosting is UK or EEA wherever the service allows it. Sensitive data is masked before it reaches a language model, and we can run the models through your own cloud tenant, so prompts and outputs stay inside your contractual perimeter. The detail is on our privacy and data processing pages.
What if the AI gets something wrong?
Every agent has explicit escalation rules and a confidence threshold. When it isn't sure, it routes to a human with full conversation context, no "start from scratch" handovers. We monitor failure modes weekly and tune the agent in production.
Can it handle WhatsApp, phone and web chat?
Yes. We deploy on web, WhatsApp, SMS, email and voice (telephony). The same underlying agent serves every channel so the customer experience stays consistent. Voice goes live alongside or after the text channels depending on volume.
Who maintains the agent after it's live?
We do. Continuous optimisation is included in the monthly engagement: knowledge updates, new flows, performance tuning, expansion to new use cases. You get a single point of contact who runs it like your in-house AI lead.
What if we already have a chatbot?
Most clients do, and most of those bots underperform. That's usually why we get the call. We can replace it cleanly or sit alongside it during transition. Either way, we benchmark against the existing solution so the uplift is measurable from day one.
Why not build it ourselves?
You can. The hard parts aren't the model. They're integration, edge cases, ongoing tuning, and keeping the system reliable when the original builder leaves. We do this every day for clients in your sector. We ship, and we keep going. The most common thing we see is a bot that was built, trained, tested, and never switched on, because the person who was going to run it had a day job.
What do you need from us to make this work?
Real access to your operation. A direct channel with the team, not just a quarterly review. The same context you'd give a new internal hire. The closer we sit to your day-to-day, the faster we move and the more value we deliver. We work like a member of your team, not like an outside vendor.
That was the last of them. The next step is a conversation.
Book a discovery call