The source stays attached
The document, ticket, file, message, or code change stays connected to the answer or draft.
Private AI for sensitive work
Use AI without losing control of the work.
Foundry helps your business use AI on documents, client intake, support, internal knowledge, and code review — from equipment you control, with records your team can check, and approval before important outputs move forward.
Book a Foundry Fit ReviewSee how it keeps a record
Built for owners and partners who want AI to save time without turning client files, business records, or staff judgement into a black box.
The everyday problem
The work is not hard once. It is hard because it keeps coming back.
Documents arrive. Client files need checking. Support tickets need first replies. Staff search old folders for answers. Code changes wait for review.
AI can help with the first pass, but only if the business can still answer simple questions: What did it read? What did it produce? Who checked it? What was approved?
Foundry is built around those questions. It helps with repeat work, keeps a record of what happened, and makes sure your team checks the important outputs.
A client pack arrives. Foundry reads it, lists what is missing, links back to the source documents, drafts the chase message, and stops for review. Nothing important goes out until a person approves it.
Sensitive workhandled in your controlled environment
Source documentsattached
Review queueneeds checking
Important resultsteam approval required
Setupcan improve over time
Example work progress for agreed jobs.
A private AI setup for the work your team already does.
Foundry runs on Apple hardware controlled by your business. It sits beside the tools you already use — folders, inboxes, helpdesks, case files, knowledge bases, or code repositories — and helps with agreed jobs.
It is not a public chatbot. It is not a pile of DIY AI tools. It is a managed setup for repeatable work: reading, sorting, extracting, searching, drafting, flagging, recording, and queueing for review.
Shows its working
You should be able to see what the AI did.
For sensitive work, speed is not enough. Owners and partners need a record.
Foundry is designed to show what came in, what it read, what it found, what it drafted, what it flagged, and who checked it before the next step.
The queue is visible
Your team can see what is waiting, what needs checking, what has been flagged, and what has already been handled.
Important steps stop for approval
Client replies, document outputs, exceptions, and sensitive actions can pause until the right person checks them.
A record is kept
The system can keep a practical record of the job: what arrived, what Foundry did, what it produced, and what your team approved.
Foundry changes “the AI said so” into “here is what happened.” This can help with accountability and internal governance. It is not legal advice and does not automatically make a workflow compliant.
The right tool for each part of the job
Foundry does not use a sledgehammer for every task.
A business process has different steps. Some are simple and repetitive. Some need careful reading. Some need a specialist tool to read a scanned page or pull fields from a document. Some need a stronger AI step to draft a careful summary for review.
Foundry can use the right local tool for each part of the job, instead of pushing everything through one big general-purpose AI model.
Fast first-pass jobs
Sorting, tagging, routing, checking formats, spotting missing fields, and preparing work for review.
Specialist document jobs
Reading scanned pages, extracting fields, handling tables, and keeping the answer tied to the source document.
Careful drafting and review support
Summaries, comparisons, client-reply drafts, code-review notes, and exception explanations for a person to check.
The point is not more AI. It is using the right tool at the right step.
The problems it is built for.
“Can we put this in a public AI tool?”
Some client documents, legal files, financial records, support tickets, and code should not be copied into a general AI service. Foundry gives suitable work a more controlled route.
“Can we show how this was handled?”
Foundry keeps the source, draft, flags, queue, and approval step together so managers can check the path.
“What if the AI supplier changes the rules?”
Cloud AI can be useful, but prices, limits, models, accounts, and policies can change. Foundry helps bring suitable work under your own control.
“Who is going to make this work day to day?”
Local AI is only useful if it is managed. Foundry covers setup, workflow design, review queues, support, and sensible guardrails.
Practical workflows, not AI theatre.
Foundry is strongest where the work is repeatable, sensitive, review-heavy, and expensive to handle manually.
Read, sort, extract, and queue documents for review.
Invoices, purchase orders, contracts, renewal notices, forms, and quotes can be handled as agreed jobs. Foundry keeps the original file, pulls out key fields, flags issues, keeps a record, and creates a review queue.
Show what has arrived, what is missing, and what needs chasing.
For matter packs and intake files, Foundry can identify documents, check completeness, flag missing evidence, and draft chase messages for approval. It supports the admin workflow; it does not give legal advice or make professional decisions.
Draft routine replies so complex cases stop waiting.
Foundry can read tickets for agreed support queues, check the knowledge base, draft replies, route bugs, and pass complex issues to people with context already summarised.
Ask the firm’s own documents, not the open internet.
Foundry can search selected internal files and answer questions with references to source documents where possible. If it cannot find a source, it should say so.
Give every pull request a first pass.
Foundry can review code changes for security, tests, edge cases, consistency, and obvious performance issues before a senior engineer spends their attention.
The repeated pattern is already visible.
reduction in document handling time in a structured document-processing workflow.
faster matter readiness in the conveyancing intake example.
routine support response time in the client-support workflow.
to find internal knowledge in the search example.
PR review path in the code-review workflow.
Figures are from example case-study workflows and demo evidence, not promised results. The Fit Review checks what is realistic for your volume, tools, data quality, hardware, AI tools, and approval process.
Why it is different.
Sensitive AI work can stay closer to home.
For agreed jobs, Foundry runs the AI work on equipment your business controls, reducing the need to send sensitive material to a general cloud AI provider.
The work leaves a trail.
Foundry can show the source, draft, flags, queue status, and approval step.
Foundry helps. Your team decides.
It can read, sort, draft, search, and flag. It should not make important legal, financial, client, HR, medical, or compliance decisions on its own.
Improve the parts without rebuilding the whole process.
As better local AI tools become practical, the setup can be reviewed and improved without throwing away the process.
Your process is less exposed to one outside provider.
For work moved into Foundry, the business is less dependent on one cloud AI account, one price change, one service outage, or one platform rule change.
Practical visibility
Owners should be able to see the state of the work.
Foundry should make the work visible enough for a manager to understand without asking an engineer.
Work waiting6 items
Source attachedyes
Missing items flagged2
Draft ready4
Needs approvalrequired
Checked byreviewer
Approved / sent backtracked
Local AI workactive for this workflow
Example work progress, not live customer telemetry.
More control over the process
Your process should keep working if a supplier changes the rules.
Cloud AI tools can be useful. They are also outside your control. Prices can change. Limits can appear. Models can be retired. Accounts can be restricted. Services can have bad days.
Foundry does not remove every dependency. You still rely on hardware, software, support, electricity, networks, and the systems your business already uses.
But for suitable work moved into Foundry, more of the process is under your control: the equipment, the workflow, the review steps, and the record of what happened.
Find out whether Foundry is worth it for one of your workflows.
Book a Foundry Fit Review. We will look at the work, the data, the risks, the current cost, the approval steps, and whether a private AI setup is sensible.
If it is a fit, you will know where to start. If it is not, we will say so.
Book a Foundry Fit ReviewSee example workflows
No generic AI pitch. Just a practical answer.