Airclerk helps multidisciplinary and specialist engineering firms put Claude to work on the document-heavy workflows around engineering delivery: proposals, design briefs, project correspondence, reports, compliance evidence, peer-review preparation and project closeout.
We build around the systems, templates, checklists and reference material the firm already controls, with calculations, design decisions and professional sign-off kept with engineers.
Use Copilot? We can implement on your preferred platform.
Engineering consultancies use Anthropic's Claude models to support document-heavy project work such as fee proposal drafting, project brief analysis, requirements registers, RFI and correspondence triage, design report assembly, Building Code evidence matrices, Health and Safety by Design registers, peer-review preparation, producer-statement readiness and project closeout. Claude can be connected to the firm's project folders, document-management system, email, CRM, project-management platform, approved templates and internal knowledge. Project isolation, source citations and engineer approval are built into the workflow. Claude supports the work around engineering judgement. It does not replace engineering calculations, design decisions, certification or professional sign-off.
These are starting patterns, not a packaged engineering suite. Each workflow is adapted to the firm's disciplines, systems, templates, professional boundaries and standards access. Each is a candidate first workflow for a Readiness Sprint.
Turns the client brief, correspondence, prior project examples and the firm's commercial templates into a first-draft proposal. Scope, deliverables, assumptions, exclusions, dependencies and information required from the client are separated clearly for principal or director review.
Extracts requirements from the client brief, consent documents, architectural information, specifications, meeting notes and project correspondence. Creates a traceable register of requirements, owners, source documents, decisions, open questions and changes.
Classifies incoming project correspondence by discipline, project, urgency and required action. Drafts responses for routine items, identifies missing information, updates the open-issues register and escalates anything requiring engineering judgement. Nothing is sent without the project team's approval.
Builds a report shell from the firm's approved template and assembles the available project information into the correct sections. Sources, assumptions, exclusions, referenced drawings, outstanding calculations and unresolved inputs are made visible rather than filled with plausible language. The engineer reviews the technical narrative and remains responsible for the final report.
Maps the project's proposed compliance pathway against the evidence available in the file. Relevant drawings, calculations, reports, specifications, product information and review records are linked to each requirement. Gaps, conflicting revisions and unsupported claims are flagged for the engineer's decision. This is an evidence-organisation workflow, not an autonomous determination that the design complies.
Assembles identified design risks, decisions, controls and residual risks from workshops, meeting notes, design reports, drawings and project correspondence. Tracks ownership and records what information needs to pass to the client, contractor, operator or later project stage.
Prepares the project for internal or external peer review. Checks the file against the firm's approved review checklist, assembles the design basis and key assumptions, identifies missing or superseded material, and produces a review index with direct links to supporting evidence. The peer reviewer makes the technical findings.
Checks whether the expected supporting information appears to be present before a producer statement is prepared or signed. The workflow can assemble the relevant design documents, review records, construction observations, changes and outstanding exceptions against the firm's approved readiness checklist. It does not issue, approve or sign a producer statement.
Turns structured site notes, photographs, correspondence and identified departures into a draft observation report. Items are linked to their evidence, assigned an owner and tracked through response, reinspection and closure. Anything potentially affecting the design or final sign-off is escalated.
Builds regular client and internal project reports from correspondence, actions, programme information, commercial records and deliverable status. At closeout, it assembles the final document index, unresolved-item register, decision history, handover material and lessons learned.
Behind every material workflow sits AI Process Assurance: the instructions, sources, exceptions, review changes and sign-off retained as an AI Workpaper, so the firm can show what Claude did, what it did not do, how the result was checked and who approved it.
The first production workflow should not ask Claude to perform load calculations, size structural elements, select safety-critical systems, certify compliance or make a final design decision. Engineering software, calculation tools and competent engineers remain responsible for that work. Claude fits around those systems: organising the project evidence, finding inconsistencies, preparing reports, surfacing missing inputs and making the review process easier to perform and evidence.
The most useful engineering knowledge is rarely contained in a generic prompt. It sits in the firm's proposal templates, design-report structures, review checklists, drawing standards, project correspondence, approved examples, lessons learned and the judgement of its experienced engineers. Airclerk works with the firm's engineers to turn those methods into repeatable Claude skills, rather than imposing a generic engineering playbook.
Many engineering standards are licensed and copyright-protected, and a subscription does not automatically permit their content to be embedded in an AI application. Standards content is connected only where the firm's licence permits the proposed use; otherwise the workflow works from internal checklists and source references, and stops for an engineer to verify the relevant standard. The detail is in the FAQ below.
The objective is not to make Claude the engineer. It is to make the project file more complete before an engineer reviews it: the right documents assembled, the right requirements traced, open issues visible, sources identified, assumptions recorded and approval gates followed. That is where speed and professional control can reinforce one another.
The first workflow is chosen by volume, source availability, repeatability, review effort and professional risk. For many firms that means fee proposals, project brief analysis, RFI triage, design-report assembly, review preparation or project reporting. Calculations, safety-critical selections, final compliance decisions, certifications and professional sign-off remain outside the first workflow.
Each workflow defines who reviews what: project engineer, discipline lead, technical director, project director or another authorised reviewer. The workflow stops at the appropriate boundary. It does not send project correspondence, approve a design change, close a technical issue or produce a signed professional document by itself. The AI Workpaper records which sources were used, what exceptions were raised, what changed during review and whether any required gate was missed.
The workflow is evaluated against held-out examples from the firm's own completed work. Does it use the correct project revision? Does it distinguish evidence from assumption? Does it identify missing information instead of inventing it? Does it maintain project isolation? Does it route technical decisions to the right engineer? Does it stay within the approved standards licence? Cross-project leakage, prompt injection, unsupported technical claims and false-completeness checks form part of the production gate.
The engagement produces: the configured workflow on the firm's approved AI platform and systems; a Workflow Charter defining its stages, permitted sources and approval gates; a clear boundary statement describing what the workflow must never decide or do; evaluation results from held-out project testing; a standards and reference-content access model; a runbook for engineers, project managers and support teams; training appropriate to each role; a retained AI Workpaper for each material run; reviews at 30, 60 and 90 days to confirm that the workflow is being used safely and delivering measurable value.
Two-week, fixed-price plan built with your engineers, project leaders and operational team.
The first governed workflow connected to the firm's project systems, documents, templates and approved knowledge.
Permissions, project isolation, source controls, professional-review gates, evaluation and audit trails.
Monitor, improve and expand the workflow as project teams use it and the firm's methods evolve.
Airclerk can implement Claude, Microsoft Copilot or ChatGPT depending on the firm's existing environment. Workflows run on the firm's approved enterprise instance and under its own vendor agreement.
A governed Claude implementation plan for your engineering consultancy, built with your engineers in two weeks.
Engineering consultancies can use Claude to support document-heavy work around engineering delivery: fee proposals, scope drafting, project brief analysis, requirements registers, RFI and correspondence triage, design report assembly, compliance evidence matrices, Health and Safety by Design registers, peer-review preparation, producer-statement readiness, site observation reports and project closeout. Airclerk implements these as governed workflows connected to the firm's approved project systems, documents, templates and knowledge. Engineers retain the calculations, technical decisions, review and sign-off.
Not in the workflows Airclerk recommends as a starting point. Engineering calculations should remain in the firm's approved calculation and modelling tools, operated and reviewed by competent engineers. Claude can organise the inputs and outputs, prepare surrounding documentation, identify inconsistencies and assemble review evidence, but it does not become the designer of record. Final design decisions, certifications, producer statements and other professional sign-offs remain with the firm's authorised engineers.
Only where the firm has the rights required for the proposed use. Engineering standards are commonly licensed and copyright-protected. A purchased PDF, network licence or online subscription does not automatically permit standards content to be copied into an AI tool or digital application. Airclerk maps the proposed workflow against the firm's licences before implementation. Where direct use is not permitted, the workflow can rely on the firm's approved internal checklist, link the engineer to the applicable source and require human verification rather than reproducing or recalling the standard.
Two controls come first. Project isolation: material from one client or project is walled off from another project's work. Permission-aware access: the workflow sees only the project material the person running it is already authorised to access in the firm's existing systems. Before project information is connected, Airclerk reviews the AI vendor's enterprise terms, retention, training use, subprocessors and data-location arrangements. The implementation runs on the firm's approved enterprise instance, under its own agreement with the AI provider.
AI Process Assurance records the work that passes through an instrumented workflow. A Workflow Charter defines the expected process, approved sources, professional boundaries and review gates. A Semantic Audit records what actually happened during the run. The retained AI Workpaper shows the sources used, exceptions raised, review changes and final approval. It does not claim to capture everything an engineer does. It creates a reviewable record for the specific AI-assisted workflows the firm chooses to govern.
The approach applies to multidisciplinary and specialist consultancies, including firms working across structural, civil, geotechnical, mechanical, electrical, fire, hydraulics, water, environmental, acoustics, seismic and building-services engineering. The first workflow is selected around the firm's actual work rather than its discipline label. A specialist consultancy and a multidisciplinary firm may share the same high-value starting point, such as report assembly, review preparation or project correspondence triage.
No such product exists, and we would be cautious of one. Engineering methods, disciplines, systems, project types and professional boundaries vary too much for a generic package to be installed safely. Airclerk brings the implementation method, governance controls, workflow architecture and reusable patterns. The firm brings its engineers, systems, templates, approved references and technical review standards. The first engagement is a Readiness Sprint and co-design process, not a generic engineering brain delivered from outside the practice.
AI features inside Microsoft 365 and engineering platforms are useful, and Airclerk does not try to replace them. The workflow layer crosses systems and follows the firm's process. It can begin with the client brief, retrieve the correct project documents, apply the firm's approved checklist, prepare a report, route it to the responsible engineer and retain the evidence of review. The firm controls the configured process, professional boundaries and approval gates. Where Microsoft Copilot is the preferred platform, Airclerk can implement the workflow there.