AI & Automation/Personalised AI Agents

Agents that live
where your team works.
Trained on your business.

Custom AI agents that sit inside your tools -- Slack, email, CRM, your website -- triage what matters, draft what needs writing, monitor what might break, and surface what your team needs to know.

Trusted by4 agent types deployed142 actions / day avg£420k saving projected
BH
Bryn Hall Hotels · Agent team
4 agents · 142 actions today
S
Scout
Pipeline triage · 142 actions today
Running
D
Drafter
Email drafts · 38 drafts queued
Running
R
Ranger
Site monitoring · All green
Done
N
Notetaker
Call notes · 3 calls today
Done
£420k operational saving projected yr-1
Six agent types we deploy

Six agents. One team.

Each agent is purpose-built for a specific job. They work together -- Scout triages, Drafter writes, Ranger monitors, Notetaker listens. Your team does the judgement calls.

Inbox + lead triage

Reads every inbound email or CRM entry, scores it, routes it, and drafts a suggested reply -- before your team opens the thread.

Drafter

Writes first-draft responses, proposals, and follow-ups in your voice. Your team reviews and sends -- or does not.

Site monitor

Watches your site, your competitors, and your data feeds for changes that matter. Alerts you before customers notice.

Notetaker

Joins calls, transcribes, extracts action points, and drops a structured summary into your CRM or Notion within 60 seconds of the call ending.

Reporter

Pulls data from your tools every morning and writes a plain-English summary. No dashboard-staring, no manual reports.

Bespoke

If it is repetitive, rule-based, and done on a screen, we can probably automate it. Tell us the job -- we will tell you if it is possible.

Real numbers

4 agents. 142 actions a day. £420k projected.

Bryn Hall Hotels runs a team of four agents that between them handle what used to take two full-time admin staff. The projected year-one saving is £420k once the full team is deployed.

4
Active agents deployed at Bryn Hall Hotels
142
Automated actions per day across agent team
£420k
Projected yr-1 operational saving
AT
Aled Thomas
COO · Bryn Hall Hotels · Snowdonia
We started with Scout triaging our group enquiry inbox. Within two weeks we added Drafter for proposal first drafts. Those two agents alone freed up 18 hours a week of senior staff time. The agents do not take days off and they do not get tired on a Friday afternoon.
4-agent deployment · 6 months live
How we build agents that work

Three things that separate useful agents from demos.

Most AI agent demos are impressive for 10 minutes and unreliable in production. We build agents that work reliably because we constrain them carefully.

< 24h
From brief to first agent running
Scoped builds
142
Actions per day, per agent team
Bryn Hall Hotels
99.4%
Task completion rate
Across all deployments
01 · Permissions

Agents that know their limits.

Every agent runs with the minimum permissions needed for its job. Scout can read your inbox and suggest -- it cannot send. Drafter can write -- it cannot publish. Permissions are explicit, audited, and shown to you before go-live.

  • Read-only by default -- write access only where required
  • Audit log of every action the agent takes
  • Kill switch per agent -- pause in one click
Scout agent · permission matrix
Permissions check AUDIT
Read email
granted
Write draft
granted
Send email
denied
02 · Data sources

Trained on your data, not the internet.

Your agents know your business because we connect them to your actual data -- your CRM, your docs, your email history, your product catalogue. They do not hallucinate facts they should know.

  • Connected to CRM, docs, email, and product data
  • Private retrieval -- your data never trains public models
  • Data freshness controls: live, daily, or weekly sync
CR
CRM data
HubSpot · live sync
Live
DC
Document store
Notion + Google Drive · daily
Synced
EM
Email history
Outlook · 90-day window
Synced
Private retrieval: your data never leaves your environment to train public models.
03 · Handoff

Knows when to stop and ask.

The most important thing an agent can do is recognise when it is out of its depth. Our agents have confidence thresholds and escalation paths built in from day one -- they surface uncertainty rather than hide it.

  • Confidence threshold triggers human review before acting
  • Uncertain outputs are flagged, not silently submitted
  • Weekly accuracy review included in every care plan
S
Scout
Group enquiry · 12 rooms · conf 0.61
Review
Below threshold -- flagging for Aled
AT
Aled (COO)
Draft + context sent to Slack
Reviewing
Scout flagged the enquiry, wrote a draft, and asked Aled to review before sending.
Connects to your stack

Works where your business already runs.

SlackSlack
GmailGmail
NotionNotion
DriveDrive
HubSpotHubSpot
MakeMake
Personalised AI Agents
AI Stack

Email & comms

Where your agents read + write

CRM & ops

Where context lives

Knowledge base

What agents are trained on

Calls & meetings

Where Notetaker listens
How we engage

Start once. Keep it running.

Agent build

from £2,800 + VAT · per agent
  • Discovery + job scoping
  • Data source connection + permissions setup
  • Agent training + red-team testing
  • 50-action supervised go-live
  • Full documentation + kill-switch

Care plan

£189 / mo per agent · cancel any time
  • Weekly accuracy review
  • Retraining on new data / edge cases
  • Prompt improvements + tuning
  • Usage + cost report monthly
  • Priority support via Slack
Ready to add an agent to your team?Book a 30-minute call -- we'll tell you exactly what it would take.
Book a call

Lives where your team already works

Zapier
Google Calendar
HubSpot
Salesforce
Google Sheets
Slack
GoHighLevel
Make
Twilio
Cal.com
Notion
Google Drive
n8n
Monday.com
Gmail
Mailchimp
Shopify
Airtable
AWS
Meta
PayPal
Stripe
Supabase
Telegram
Zapier
Google Calendar
HubSpot
Salesforce
Google Sheets
Slack
GoHighLevel
Make
Twilio
Cal.com
Notion
Google Drive
n8n
Monday.com
Gmail
Mailchimp
Shopify
Airtable
AWS
Meta
PayPal
Stripe
Supabase
Telegram