01 / The investor point

Estate agency still scales through people, not systems.

More transactions usually mean more headcount, inconsistent execution and compressed margins.

02 / The economic unlock

KeystoneAI changes the operating leverage.

Margin expansion comes from higher transactions per agent, less admin per transaction, lower escalation cost and repeatable compliance workflows.

03 / The model

Human judgement. System execution.

Automation by default. Humans where judgement changes outcomes.

04 / Why agency first

A captive London agency proves the workflows before platform-scale deployment.

05 / The compounding thesis

Every transaction improves the system.

Every workflow improves capacity. Every capacity gain improves margins.

Why this is venture-scale

The margin story is the product story.

The residential property market has digitised lead generation. It has not standardised transaction orchestration. That is where labour, margin and service quality break.

Traditional agencies

People-dependent scale.

More transactions require more headcount
Execution quality varies by operator
Regulation increases operating drag
Knowledge is difficult to standardise
KeystoneAI

System-led scale.

Routine work shifts into the system
Humans focus on judgement and trust
Compliance is embedded into workflows
Execution becomes repeatable
3x+
Target transaction capacity per agent
75%
Target gross margin
<£700
Target CAC at scale
36
Breakeven transactions / quarter

KeystoneAI improves margin by moving routine coordination, admin, compliance checks and escalation logic into repeatable workflows.

The KeystoneAI operating model

Orchestrating workflows, stakeholders and decisions across every transaction.

KeystoneAI converts transaction expertise into a scalable operating system.

Workflow orchestration

Coordinates stakeholders, progression and compliance across the transaction lifecycle.

Standardising execution across fragmented transactions

Human × AI execution

Automation handles routine matters. Humans intervene where judgement changes outcomes.

Human expertise is focused on high-impact decisions

Operational learning

Every transaction strengthens workflows, escalation logic and predictability.

Scale strengthens execution, not complexity

From agency to platform

We are not building unproven software in isolation.

Awesome Agents uses a live London agency to generate transactions, prove economics, capture data and refine workflows before scaling KeystoneAI through platform, licensing and franchise models.

Now: prove

Generate real sales and lettings transactions through Awesome Agents.

Next: scale

Codify workflows, automate routine operations and embed compliance by design.

Beyond: platform

Deploy across new locations and scale without proportional headcount growth.

Optionality

Platform, franchise and roll-up opportunities once the economics are proven.

The flywheel

Built once. Reused repeatedly.

Lower marginal complexity as volume increases. Operating leverage improves with scale.

LEVERAGE
Early operational validation

Early proof and operational validation.

Live operational data from pre-launch activity.

20+
Tenancies contracted with signed agreements
1st
Sale agreed
100+
Prospective customer interactions handled through KeystoneAI
Live
Core enquiry, onboarding, pricing and customer communication workflows active
Ready
Compliance logging and operational governance in place; human escalation retained for judgement and exceptions
The founder

Built by someone who has scaled systems-led businesses.

Kamran Malik built and scaled a $250m EY business across technology, operations and regulated industries. He is using that experience to turn residential property transactions from manual execution into repeatable infrastructure.

Invitation

Request the investor pack.

The full deck, financial model and investor hub show the operating thesis, unit economics, use of funds and validation roadmap.

Investment terms
Target raise: £750k, with capacity to extend to £1m
Structure: ASA
SEIS/EIS: Intended, subject to eligibility and HMRC approval
Use of funds: KeystoneAI hardening, London validation, GTM testing, operations and compliance
Planned Seed process: late Q1 2027; target close Q2 2027