AI that doesn’t leak your company data.
Ironclad Enterprises designs, builds, and secures AI assistants and agents for business owners and IT leads. Primary build platform is Amazon Bedrock, and we work across the major cloud providers — AWS, Microsoft Azure, and Google Cloud.
Assistants and agents
- 01
Customer support chatbots
Chat assistants trained on your own documents, product pages, and policies — so answers come from your material, not the open internet.
- 02
Internal assistants
Private assistants that answer questions from company data — SOPs, playbooks, records — for staff who need answers without opening ten tabs.
- 03
Workflow agents
Agents that draft, route, and summarize — turning long threads, tickets, and documents into next actions your team can act on.
- 04
Business system integrations
Delivery over web chat, email, and the tools you already run — CRMs, ticketing, shared drives, and internal portals.
Securing your agents and skills
The differentiator. Every agent we ship goes through the same security work the principal has done for nine years in Navy cyber and as a cloud security engineer.
- 01
Threat modeling per skill
Every tool or skill an agent can call is mapped and reviewed for abuse paths before it ships — not after an incident.
- 02
Least-privilege permissions
Each tool gets only the permissions it needs. No shared admin keys, no blanket read access to company data.
- 03
Prompt-injection testing
Prompt-injection and data-exfiltration testing on real documents and real inputs before launch — findings written up in plain language.
- 04
Guardrails and approvals
Content guardrails, structured logging, and human approval steps in front of sensitive actions like sending mail or changing records.
- 05
Third-party skill review
Third-party skills and plugins are reviewed for permissions and data handling before they touch company data.
- 06
Data stays in your cloud
Documents, embeddings, and logs stay inside the client's own cloud account. No copies handed to outside vendors.
Bedrock-first, cloud-flexible
Amazon Bedrock is the primary build platform for our AI work — foundation models, retrieval, guardrails, and agent tooling under one roof, running inside your own AWS account.
We also have working experience across AWS, Microsoft Azure, and Google Cloud, so the platform choice can follow the client’s existing contracts and data-residency needs rather than the other way around.
- Amazon Bedrock
- AWS
- Microsoft Azure
- Google Cloud
How a project runs
Four stages, each scoped. Nothing happens off the brief.
- 01
Discovery call
A working conversation about what the agent should do, what data it should see, and what it must never touch.
- 02
Short pilot
A scoped pilot against real documents — so you can see quality, latency, and cost on your actual material, not a demo dataset.
- 03
Security review
Threat model, prompt-injection tests, permission audit, and a written report before anything is exposed to end users.
- 04
Launch and support
Launch behind your domain and a written support agreement covering monitoring, updates, and response times.
Next step
Tell us what you want the agent to do.
Share the workflow, the documents, and the systems it should reach. We’ll reply within one business day with clarifying questions and a written scope.