AI for engineering teams
Claude agents for engineering, fabrication and construction firms
RAM CADDSYS has implemented engineering software for 28 years. We now implement Claude the same way: inside the tools and workflows your team already uses, with training for the people who run them.
Discuss a pilotThe systems your team already runs. Marks belong to their owners.
In production
We run our own company on one intelligence layer
Since 2026 we have connected our own commercial and back-office work to one layer built on Claude. The business can be asked a question, and it can act on the answer. What we implement for you is what we already operate.
- Sales
- Conversations
- Quoting
- Billing
- Renewals
- Finance
- Hiring
- Website and SEO
- Code quality
One intelligence layer
- Connected
- Each function writes to the layer and reads from it.
- Queryable
- Ask about a lead, a quote or a renewal and get the answer, with its source.
- Closed loop
- Scheduled checks watch the work and raise what needs a person.
Services
What we implement
Four kinds of work, usually in this order. Set up Claude where your data lives. Connect the tools your team already runs. Automate the workflow between them. Train the people who own it.
Today, by hand
- Result
- Export
- Re-key
- Next tool
Connected
- Result
- Connector
- Claude
- Approval
- Next tool
Set up
Claude Enterprise setup
Single sign-on and provisioning, groups and roles, the surfaces and connectors each group gets, spend caps and retention.
Deployment on AWS or Google Cloud
Inside your own Amazon Bedrock account or Google Cloud project.
Connect
Your tools, connected
Any tool with an API, a file format, a database or a command line, including the ones you built yourselves. Connected through MCP, so results stop moving by hand.
Design to shop floor
Controller retrofit, CNC programming, and custom control software for machines the manufacturer no longer supports.
Automate
Agents for the commercial desk
Enquiry intake, routing, quote drafting, renewal and purchase-order follow-up.
Knowledge retrieval
Design codes, standards and project documents, answered with source citations.
Enable
Training for every role
The people who use it, the champions who own it, and the engineering and IT teams who extend it with Claude Code.
Enterprise rollout
A written plan: every decision with an owner and a date, then go-live group by group.
Engagement
How an engagement works
One workflow at a time, measured against a baseline. Every stage ends in a decision.
Start with the work
Start with the work
Four questions, four yeses
- How often does it happen?
- How much judgement does it take?
- Can the result be measured?
- Is the team ready to change it?
Marginal gain — the same work, faster
Structural gain — the unit of work changes
We start with the team that owns the workflow and ask four questions: how often it happens, how much judgement it takes, whether the result can be measured, and whether the team is ready to change how it is done. We also say up front whether the gain will be marginal or structural.
Measure before you build
Measure before you build
Baseline sheet, before day one
- Time per job
- —
- Hands it passes through
- —
- Where it waits
- —
- Cost per job
- —
We record how the workflow runs today: how long it takes, who touches it, where it waits, what it costs. That baseline is the number the pilot is judged against.
Scope a pilot you can finish
Scope a pilot you can finish
- Week 1
- Week 2
- Week 3
- Week 4
Two to four weeks. One workflow, one cohort.
Two to four weeks. One workflow. A named cohort who use it every day. A written definition of done, agreed before day one.
Build inside your systems
Build inside your systems
In your own account, on
The agent is connected through MCP to the design tools and records the workflow lives in, so one tool’s output becomes the next one’s input. Where a tool has no connector, we build one. It runs in your own account on the Claude API, Amazon Bedrock or Google Cloud Vertex AI. Controls go in on the first day.
Decide on evidence
Decide on evidence
Baseline
before day one
Result
end of pilot
- Extend to the next workflow
- Hand over to your team
- Stop
Baseline and result, side by side, in your numbers. Then one of three decisions: extend, hand over, or stop. Stopping is a legitimate outcome, and the scope says so.
Hand over so it holds
Hand over so it holds
- Supervised
- Reviewed
- Delegated
Champions named inside your team, documentation treated as part of the deployment, and a staged move from supervised use to delegated work.
Scale when it earns it
Scale when it earns it
An enterprise rollout turns on five decisions, taken in this order, each with a named owner and a start date.
Structure and identity
One organisation or many; the groups inside it.
Access
Which surfaces and connectors each group gets.
Governance
How customisations are controlled.
Spend
Caps, and who manages them.
Visibility
What is measured; the signals that show adoption.
Go-live
Group by group.
Settled first, because they are hard to undo
Every open decision is written down with what blocks it, what unblocks it and a decide-by date. The result is a rollout plan your team owns. It also says which answers carry over when a new Claude product arrives.
Then three phases.
- Activation
- Acceleration
- Expansion
Training
Training comes with every implementation
Each role is trained on its own work, at the point in the engagement where it needs it.
- During the pilot
The people who use it
Working with the agent on their own workflow: what to hand it, how to review its work, when to correct it.
- At handover
The champions who own it
Keeping the instructions and documentation current, and training the colleagues who come after them.
- Before rollout
Engineering and IT
Claude Code for building and maintaining connectors, and the admin controls: access, spend and audit.
Controls
A person approves before anything reaches your customer
Your systems
- Analysis results
- Connection reports
- Detailing models and drawings
- ERP and CRM records
Role-based access
Claude agent
Connected through MCP
Per-agent cost limit
Human approval
Before anything is sent
Your customer
An audit trail of every agent action, across the whole path
Spend
Spend is capped before it is spent
We set the limits with you during setup, at three levels, and review them with you every month.
Organisation ceiling
The most the organisation can draw in a month.
Group caps
A per-person limit that every member of a group inherits.
Per-person overrides
A higher or lower limit for one person.
What moves spend
- The default model and effort level
- Organisation instructions that guide use
- Reusable skills, loaded only when a task needs them
- Agentic tasks left running
Sized to real use
Each group's limit fits its typical member. Where usage is unknown we start tight and raise on evidence, with planned room for spiky work such as month-end.
Reviewed every month, in both directions
Every request to raise a limit is questioned, and so is every repeat. Limits that are never reached come down.
Where it runs
Deployed where your data already lives
Claude runs directly on the Claude API, which carries every feature, or inside your own cloud account on Amazon Bedrock or Google Cloud Vertex AI. We set up the path your data and spend already sit in, and build the rest around what it carries.
| Criterion | ||
|---|---|---|
| Runs in | Amazon BedrockYour own AWS account | Google Cloud Vertex AIYour own Google Cloud project |
| Sign-in | IAM roles, or bearer tokens for teams without IAM access | Google Cloud credentials and IAM |
| Data residency | A global endpoint, or US, EU, Japan and Asia-Pacific regions | A global endpoint, US or EU multi-region, or a single region |
| Logging | Invocation logs stay in your account; logging gives neither AWS nor Anthropic access to your content | Request logs stay in your project; logging gives neither Google nor Anthropic access to your content |
| Carries | Messages, tool use, caching, thinking, citations, structured outputs. Server-side tools and the MCP connector we run on your side | The same, plus web search. Code execution and the MCP connector we run on your side |
| Choose it when | Your data and spend already live in AWS | Your data and spend already live in Google Cloud |
Get started
Have a workflow in mind?
Tell us what it is, and we will scope a fixed pilot around it.
Discuss a pilot