PF & Co Site Intelligence — AI Supplier Due Diligence Pack

For RICS-Regulated Professionals
Document Version: 1.0 · Date: 13 March 2026
Classification: Confidential — For Client Due Diligence Use Only

1. Company Overview

Company: PF & Co Site Intelligence Ltd
Registered: England & Wales
Services: Structural engineering, construction, and AI-assisted site intelligence reports
Contact: info@pfandco.co.uk · 01483 363020
Web: pfandco.co.uk

PF & Co Site Intelligence is not RICS-regulated. This document is provided to assist RICS-regulated professionals in fulfilling their supplier due diligence obligations under the RICS "Responsible Use of AI in Surveying Practice" standard (mandatory from 9 March 2026).

2. AI Systems Summary

2.1 What "AI-assisted" means

Our site intelligence reports are produced using a multi-agent artificial intelligence system:

AI agents are used for data acquisition (querying authoritative public data sources)
AI agents are used for analysis and scoring (interpreting data into risk assessments)
AI agents are used for initial report drafting (assembling findings into structured documents)
All outputs pass through a multi-stage quality assurance pipeline
All outputs are reviewed by our engineering team before delivery

AI does not make autonomous decisions about report conclusions or recommendations.

2.2 System scale

Metric	Count	Detail
AI Agents	125+	Across 7 operational domains
Data Sources	60	Across 11 categories
QA Categories	24	Across 5 quality domains
Report Types	24	Covering planning, environmental, geological, heritage, transport, ecology, and construction

3. Data Source Categories

Our system draws on 60 authoritative data sources across 11 categories. Individual source counts per category, source names, and per-report mappings are proprietary.

Category	Type of data
Geology & Ground Conditions	Bedrock and superficial geology, borehole records, geohazard data, soil classification
Flood & Water	Flood maps, monitoring stations, defence assets, water company records
Heritage & Conservation	Listings, Heritage at Risk Register, conservation area boundaries
Ecology & Environment	Statutory designations, protected species records, priority habitats, ancient woodland
Planning & Land Use	Planning portals, local plan policies, Land Registry, Green Belt, Article 4 data
Mapping & Spatial	Base mapping, LiDAR elevation data
Climate & Energy	Climate projections, EPC register, distribution network capacity
Safety & Risk	UXO risk mapping, COMAH major hazard installations
Market & Infrastructure	Transactions, price indices, broadband, NSIP register, renewable energy data
Transport & Accessibility	Stops, timetables, rail frequencies, traffic data, cycle infrastructure
Amenity & Services	Schools, healthcare, retail, food hygiene data

All sources are authoritative government or regulated-industry datasets. We do not use unverified web scraping, social media data, or crowd-sourced information as primary inputs. Named providers include (inter alia) the Environment Agency, British Geological Survey, Historic England, Natural England, DEFRA, Ordnance Survey, HM Land Registry, and the Department for Transport.

4. Agent Domains

Our 125+ AI agents are organised into 7 operational domains. Individual agent counts per domain, agent names, triggering rules, and report-to-agent mappings are proprietary. The bands below are indicative.

Domain	Scale	Function
Data Acquisition	30+ agents	Query authoritative data sources and compile raw site intelligence
Analysis & Scoring	30+ agents	Interpret raw data into quantified risk scores and compliance assessments
Structural Engineering	15+ agents	Design, optimise, and verify structural elements to Eurocode standards
Construction & Project	10+ agents	Manage construction logistics, programme, cost, and compliance
Market Intelligence	Specialist team	Assess infrastructure proximity, property value impact, and market benchmarks
Platform & Operations	Specialist team	Compile reports, validate data, and manage client-facing outputs
Visual Analysis & Mapping	Specialist team	Generate constraint overlays, context maps, and visual report assets

5. Quality Assurance Pipeline

Every report passes through a 24-category QA pipeline before delivery. The pipeline covers five quality domains:

Accuracy — factual verification against source data, numerical precision, citation validity.
Regulatory compliance — planning policy cross-referencing (NPPF, local plan, SPDs), building regulations, environmental regulatory alignment.
Consistency — cross-report data agreement, terminology consistency, internal logic validation.
Formatting — document structure, visual asset validation (maps, charts, tables), table integrity.
Citation integrity — source attribution verification, data freshness confirmation, reference link validity.

Individual QA check names, pass/fail criteria, and scoring algorithms are proprietary.

6. Human Oversight Model

6.1 Engineering review

Every report is reviewed by a member of our engineering team before delivery. The reviewer checks for accuracy, regulatory relevance, and professional appropriateness.

6.2 Accountability

The engineering reviewer is accountable for the final report content. AI systems do not make autonomous decisions about conclusions, recommendations, or risk ratings.

6.3 No autonomous delivery

No AI-generated report is delivered to a client without human review. There is no automated delivery pathway that bypasses human oversight.

6.4 Feedback loop

Quality issues identified in delivered reports are fed back into the QA pipeline as new checks, ensuring continuous improvement.

7. Data Governance

7.1 Client data processing

Client data (site addresses, project details) is processed solely for the purpose of producing the ordered report.
Client data is not used to train, fine-tune, or improve any AI models.
Data is processed on secure infrastructure.

7.2 Data retention

Contact form data: retained for up to 12 months.
Order data: retained for 6 years (UK tax/accounting requirements).
Report processing data: retained only for the duration of report production.

7.3 Regulatory compliance

All data processing complies with UK GDPR and the Data Protection Act 2018.
See our published Privacy Policy for full details: /legal/privacy-policy.html.

7.4 Third-party AI services

Where we use third-party AI models or services, we assess them against data processing policies, security standards, and alignment with our governance framework.

8. RICS Standard Alignment

The table below maps the four pillars of the RICS "Responsible Use of AI in Surveying Practice" standard to our practices.

RICS Pillar	Our Practice
Transparency	Public AI Standards & Compliance page. AI disclosure at point of order. AI methodology section in every report. Client information rights in Terms of Service (Section 7.3).
Accountability	Named engineering reviewer for every report. No autonomous AI decisions. Human-in-the-loop at every stage.
Fairness	Consistent methodology applied equally to every site. Authoritative government data sources. No algorithmic bias in constraint screening or risk scoring.
Data Governance	No model training on client data. Secure processing. GDPR-compliant data handling. Published Privacy Policy and AI Governance Policy.

9. Public Resources

Resource	URL
AI Standards & Compliance	pfandco.co.uk/ai-compliance
Trust & Data Sources	pfandco.co.uk/trust
Terms of Service (Section 7)	pfandco.co.uk/terms-of-service
Privacy Policy (Section 3A)	pfandco.co.uk/privacy-policy

10. Contact

For questions about this document or our AI governance practices:

Email: info@pfandco.co.uk
Phone: 01483 363020