Engineering notes and agentic MEP

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.

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.

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.

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.

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.

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.

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.

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.

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.

RAG answers questions. Copilots summarise screens. Procurement needs something that reasons across live markets, sanctions, and freight — then shows its working.

CBAM liability calculated in spreadsheets after the PO is signed is a compliance risk. Agentic AI moves the calculation to the moment of decision.

The Procurement Act 2023 asks buyers to justify supplier decisions on record. Agentic AI makes the justification a by-product of the decision itself.

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.

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.

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.

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.