James Reed
Founder and Managing Director, WYRM
Building services engineer developing agentic MEP workflows for engineering teams.
About
James Reed is WYRM's Founder and Managing Director, with 16 years of engineering experience across site work, consultancy and project delivery.
That practical background shapes WYRM's agentic MEP software: connecting drawings, calculations and specifications with the decisions engineering teams make every day.
Recent posts
- MEP
Is it GDPR-compliant to use AI for MEP design?
Bring data protection into the engineering workflow. Start with the project information, the people who need access and the requirements that apply to its use.
2026-06-25 · 2 min read - MEP
Why we built WYRM MEP
WYRM connects building services calculations, thermal modelling, coordinated drawings and documents in one workspace. A custom AI model directs the work, deterministic engines calculate the design, and engineers review the result.
2026-06-09 · 8 min read - MEP
Why WYRM MEP never lets a language model size a cable
A general-purpose model that is usually right becomes a liability the moment 'usually' turns into a mis-sized cable. WYRM splits the work: agents read, plan and draft; algorithmic engines do the maths; two QA gates check the join. Bounded, visible failure instead of unbounded, silent error.
2026-06-10 · 9 min read - MEP
The change cascade: MEP coordination is a graph problem
The expensive failure in MEP is rarely the first design — it's the change that ripples through six documents and gets missed in one. WYRM MEP keeps the whole job connected so a single change cascades correctly across every discipline, batched into a digest, never a stream of pings.
2026-06-11 · 8 min read - MEP
From brief to deliverables: the WYRM MEP workspace
Drop the ERs on the Project tab and WYRM extracts the design constraints, locks them against their source paragraphs, and runs every downstream tab — sizing, EPC, deliverables — from that single spec. Spec, schedule and drawing stay reconciled by construction, not by hand.
2026-06-12 · 8 min read - MEP
"Can I swap this for that?" — the MEP QA Advisor
Most MEP coordination errors start with an innocent substitution made under time pressure. The £20 MEP Advisor tier is built around that single question — swap this fan coil for that 21 kW unit — and answers it against the standards, with the downstream knock-ons surfaced before you commit.
2026-06-13 · 6 min read - Company
Why We Built WYRM Procure
Procurement teams lose hours every week to tab-switching between sanctions portals, commodity feeds, FX rates, and supplier directories. We built WYRM Procure — an agentic AI platform — because we believe the answer should come to the buyer, not the other way around.
2026-03-18 · 6 min read - Technology
Agentic AI for Procurement, Explained
Agentic AI procurement is not a dashboard. It is a set of specialist agents operating in parallel across sanctions, FX, commodities, shipping, carbon, and supplier data, returning one ranked procurement answer with full evidence trail.
2026-03-20 · 8 min read - Engineering
Building the Agentic Procurement Pipeline
Seven specialised agentic workers run simultaneously every time a buyer searches a product. We fuse their outputs — sanctions risk, CO₂ liability, FX exposure, commodity forecast, shipping cost, supplier capacity — through a predictive scoring model and return the ranked answer. Here's the architecture.
2026-03-25 · 12 min read - Technology
Agentic AI vs RAG vs Copilots: What Procurement Actually Needs
RAG answers questions. Copilots summarise screens. Procurement needs something that reasons across live markets, sanctions, and freight — then shows its working.
2026-04-22 · 10 min read - Compliance
Agentic AI for CBAM Category Managers: A Field Guide
CBAM liability calculated in spreadsheets after the PO is signed is a compliance risk. Agentic AI moves the calculation to the moment of decision.
2026-04-24 · 12 min read - Public Sector
Agentic AI for UK Government Procurement: Act 2023 Alignment
The Procurement Act 2023 asks buyers to justify supplier decisions on record. Agentic AI makes the justification a by-product of the decision itself.
2026-04-26 · 10 min read - Ledger
Agentic AI for bid + tender intelligence
Tender platforms aggregate notices. They do not tell you which to bid on, and they certainly do not draft the response. WYRM Ledger does both — capability-match against win history, then a structured draft aligned with the awarding authority's evaluation criteria.
2026-05-08 · 8 min read - Cyber
CVE triage at scale — why EPSS + KEV beat CVSS alone
CVSS is theoretical severity. EPSS is real-world exploit probability. KEV is observed exploitation. Use all three — weighted correctly against the operator's footprint — and the weekly action list drops from hundreds to single digits.
2026-05-09 · 9 min read - Legal
Why clause playbooks beat one-off contract review
Contract review without a documented playbook is opinion. With one, it is policy enforcement. WYRM Legal turns your negotiated baselines into a comparison engine — every incoming contract gets the same treatment, every time.
2026-05-10 · 8 min read - Data
Entity resolution is the cross-module substrate
A sanctioned supplier, a CVE-exposed processor, and a counterparty in a DPA are often the same legal entity wearing three names. Entity resolution is what lets a finding in one WYRM module trigger the right action in the others.
2026-05-11 · 9 min read