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Your AI pilot didn't fail.
The architecture did.

We build the three-layer system that puts UK estate agencies in the 15% — and we put our fee on the line to prove it.

Book a discovery call Take the free AI Readiness Assessment →
Built on
Reapit Alto Dezrez Jupix
Compliance-aware
AML · Consumer Duty · GDPR Art. 28 · CDMP
Live · the architecture you own
L3
AI-Native Organisation
Active
AI at the centre. Humans at the apex.
Lead routing Valuation pipeline Compliance screen Renewals
L2
AI
Active
AI deployed across operations, measured against RPE.
SOPs as code Decision rules Guardrails Observability
L1
Data Infrastructure
Active
CRM truth, cleaned, governed, queryable.
Reapit ingest Identity graph Audit log Lineage
RPE today
£74k
RPE target
£186k
Gap, 3yr
£4.2M

Most estate agency AI projects fail. Here's why.

85% of AI pilots fail. In estate agency, the rate is at least as high. The failure is almost never the technology. It is the architecture underneath it.

You were sold a Copilot when you needed AI-Native

Every AI vendor you've spoken to described their product as transformation. Most of it was assistance — tools that made individual tasks marginally faster without changing anything structural. You paid for transformation and got efficiency. They are not the same thing.

The data foundation isn't ready — so nothing built on top of it holds

Your CRM holds the operational truth of your business — but in a form AI cannot reliably act on. Without a proper data infrastructure underneath it, every AI tool you deploy is running on unstable ground. This is why pilots that work in demo degrade in production.

The gap is already costing you — it just doesn't show on a spreadsheet.

The average UK estate agency generates around £75,000 revenue per employee. An AI-Native agency targets £160,000 to £220,000. At your headcount, that gap is worth millions over three years. It shows up as instructions that stall, renewals that lapse, and margin that quietly erodes.

The compliance layer makes this higher stakes than most directors realise.

AML and KYC obligations, Consumer Duty requirements, CPR and NTSELAT material information rules, GDPR Article 28 processor agreements — each intersects with how AI can be deployed in your business. Getting this wrong is a personal liability for the directors who signed off on the implementation. Generic AI consultants do not account for this.

The architecture the other 15% built.

Every AI implementation that works shares the same characteristics: a clean data foundation, a framework layer that structures how AI and human decision-making interact, and design for the specific regulatory context of the business. AGI Automations builds all three, in sequence. The agents are the delivery mechanism. The architecture is the asset you own.

Layer 1 — Data Infrastructure

The foundation. Before AI can run anything reliably, the data underneath it must be structured, clean, and governed. Built for UK estate agency compliance from the start.

Layer 2 — AI

With the data layer solid, AI deployed across operations — systems doing real work and getting smarter over time, measured against revenue per employee. This is the layer absent in every failed implementation.

Layer 3 — AI-Native Organisation

The agency restructured around AI — org design, roles and workflows built AI-first, with human expertise applied where it creates the highest value. Viable only once Layers 1 and 2 are solid — which is why we build in sequence.

Your arbitrage gap. Two questions, live answer.

Move the sliders and see your three-year Revenue Per Employee gap update in real time. The full assessment is at assessment.agi-automations.com.

Step 1 of 3 Numbers stay on your device
Annual revenue £3.6M
Headcount 48 people
One question left → personalised entry-layer recommendation, three-year projection, and a PDF for your board.
Continue to full assessment
Your three-year arbitrage gap
£15.98M
Base case · 48 people × £111k uplift × 3 years
RPE today (yours) £75k
RPE target (AI-Native benchmark) £186k
L1 Recommended entry
Start at L1 - your data foundation isn't ready for what's above it.

Why most implementations fail — and what the alternative looks like

Traditional Consulting AGI AUTOMATIONS Tech Implementation Firms
Copilot — AI layered on existing workflows ✓ AI-Native — workflows redesigned around AI No AI capability
A slide deck ✓ A proprietary architecture your business owns A vendor dependency
Not addressed ✓ AML, Consumer Duty, CPR/NTSELAT, GDPR Art. 28 — built in Not addressed
6–12 months ✓ 8 weeks per layer 3–6 months
£150,000+ ✓ From £8,000 £100,000–£300,000
None ✓ Discovery refunded in full if we can't put a costed case in front of you None
Generalist ✓ UK multi-branch estate agency One-size-fits-all

One ladder. Three stages. Built in sequence.

L1 Data → L2 AI → L3 AI-Native Organisation is a maturity ladder, not a menu of products. The AI Strategy Intensive is the entry point; the AI Transformation Partnership takes you the rest of the way up.

Start here — AI Strategy Intensive

£8,000 · 8 weeks · the entry point to the ladder

We find the single biggest operational bottleneck holding back your revenue per employee, then design, build and deploy the fix on your existing CRM — starting with the L1 data layer underneath it. Discovery guarantee: a costed case for your single biggest bottleneck in two weeks — or Discovery is refunded in full.

Explore the AI Strategy Intensive →

Then keep climbing — AI Transformation Partnership

Ongoing · fixed fees scoped to measured saving

The ongoing engagement that moves you from L1 Data up through L2 AI to an L3 AI-Native Organisation. The larger the partnership, the wider and deeper across your operating model we go — priced as fixed fees justified by the time and money measurably saved, never a performance share.

See how the ladder works →

What the architecture does in production.

A modelled scenario based on RICS and Boomin sector benchmarks for a 12-branch UK independent agency.

Illustrative 12 offices · Reapit · 48 negotiators
From 14% lead-to-instruction → 31% in 9 weeks.

L1 unified Reapit data with portal feeds and identity-resolved every vendor across branches. L2 codified the agency's renewal SOP into instruction architecture. Speed-to-lead collapsed because every lead arrived pre-scored, pre-routed, and pre-briefed.

RPE uplift
+£62k
Speed-to-lead
11min → 47s
Renewals saved
£480k/yr
Negotiator hours back
8.5/wk
Lead → instruction conversion · weekly
0% 10% 20% 30% 40% L1 LIVE L2 LIVE Week 0 Week 3 Week 6 Week 9 14% 31%
Modelled inputs
RICS Q4 2025 conversion benchmarks · Boomin sector data · L1+L2 reference deployment timing · Conservative assumption: 75% adoption among negotiators.
Note: All figures are modelled scenarios based on published sector benchmarks. The "Illustrative" label will be removed when a real client engagement is available for publication.

Architecture, not slideware.

Three surfaces ship with every engagement. Your data model. Your agent canvas. Your operating dashboard. All three are yours — hosted in your cloud, on your CRM, under your governance.

🔒 ops.your-agency.co.uk/architecture
● All systems operational
Speed-to-lead (median)
47s
-94% vs baseline
Lead → instruction
31%
+17pp vs Q1
Compliance pass rate
99.2%
AML + CPR auto-screen
Renewals at risk
14
Action queue active
Pipeline value · last 90 days
Live from Reapit · refreshed every hour
7d30d90d1y
Action queue
Renewal lapse risk · 14 Cherry Lane
2h
AML check stuck · J. Patel
6h
New comp added · Crouch End
1d
New lead · Rightmove Identity resolve Lead scorer AML / KYC screen Branch router Negotiator brief Reapit · contact created
● Live · 14 leads/hr
trigger agent guardrail output
vendor id (pk) name phone email branch_id property id (pk) vendor_id (fk) address asking_price instruction id (pk) property_id (fk) fee_pct lapse_risk applicant id (pk) name budget_min / max aml_status interaction id (pk) type agent_id sop_ref branch id (pk) name patch_postcodes head_count
6 tables · 3 derived views · GDPR-tagged
Hosted in your cloud
AWS / Azure account you control. We deploy, you own.
Your CRM, untouched
Reads and writes via API. We never replace your system of record.
Audit-ready by default
Every agent action logged with reasoning trace and SOP reference.

Modelled Outcomes, Backed by a Real Guarantee

We have no published client results yet, so the revenue figure below is a modelled scenario, clearly labelled. What is not modelled is the guarantee.

£2.5M
Modelled revenue uplift — illustrative 12-branch scenario
8 weeks
From engagement start to working AI on your CRM
Refundable
Discovery: a costed case for your biggest bottleneck — or your money back

"The first two weeks are Discovery. By the end you'll have your single biggest operational bottleneck named, with a costed case for fixing it. If we can't put that in front of you, we refund Discovery in full and stop there. You only commit to the build once you've seen the case."

— Ben Van Dyke, Founder, AGI Automations

The case for AI-Native estate agency — free resources

Everything we publish is designed to help estate agency directors make better decisions about AI — before they spend a pound with anyone.

What you'll find:

  • ✓ The AI Arbitrage Calculator — Revenue Per Employee gap in pounds [LIVE]
  • ✓ The 85% Problem — why AI pilots fail in estate agency
  • ✓ Copilot vs AI-Native — a plain-English guide for directors
  • ✓ The Compliance Layer — AML, Consumer Duty, and GDPR in AI deployments
Explore resources →

Find out where your agency actually stands.

Book a free 45-minute discovery call. No pitch. We'll give you a directional Revenue Per Employee projection before the call ends — whether you work with us or not.

Book a discovery call →

Or take the free AI Readiness Assessment first →

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