AI only where it works
Prompt injection is what happens when an AI agent treats untrusted input as trusted instructions. We redesign the workflow so a malicious message can no longer trigger a privileged action.
Every engagement starts with a focused one-time analysis that turns your submitted problem into an implementation-ready plan, including workflow design, control points, boundary decisions, and rollout path.
Prompt injection: why the model is not a security boundary
Prompt injection succeeds when an AI system is allowed to treat untrusted content as instructions and turn its own interpretation into authority. The failure lies in a permissive workflow and must be fixed with better architecture.
Untrusted content shares a context with trusted instructions, credentials, and internal data.
The model can choose from broad tools, turning a persuasive message into a privileged action.
Sensitive actions have no deterministic policy check or human approval gate before execution.
These incidents look different on the surface, but the failure mode is the same: the model was allowed to speak or act as if it were the final authority. Real-world failures already show that conversational interfaces and agentic workflows can create legal, financial, and security exposure when they are not bounded properly.
GitHub Researchers showed that a public GitHub Issue could inject instructions into an agentic workflow that still had standing access to private repositories.
A public input channel was able to trigger private data exposure because the harness mixed untrusted instructions with privileged access.
Chevrolet Chevrolet of Watsonville's chatbot was manipulated into agreeing with a crafted customer message and presenting a one-dollar vehicle offer as if it were binding.
The model was treated like the final commercial voice of the business instead of a bounded draft assistant.
Air Canada Air Canada's chatbot invented a refund policy for when a passenger's family member dies, and the airline was later ordered to honor the resulting loss.
The system published unsupported policy guidance without a hard control layer or authoritative validation step.
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Architecture
The control belongs around the model. Separate untrusted input from trusted instructions, scope every tool, and make policy checks and approval gates part of the execution path.
Ship agents that can read untrusted content safely
We redesign the workflow so the model can help interpret information without becoming the final authority over data or actions.
From problem to implementation-ready plan in seven days
This $2,000 one-time engagement focuses on one important workflow problem, then gives your team a clear path to the next step: addressing the root cause and implementing the right changes.
We document the current process, constraints, stakeholders, and the points where the workflow currently breaks.
We audit the systems, data access, review points, and integration requirements the workflow will need in production.
You get a reviewable implementation blueprint covering workflow logic, models, systems, and human oversight.
After the analysis, we can implement the workflow end to end and maintain it, or stay on as your ongoing AI workflow consulting partner. Implementations start from $4,000.
Continuous support
Whether you need recurring advice on AI workflows, models and vendors, or want us to implement and then maintain your AI workflows, we have a suitable package for each case:
Consulting retainer
No implementation required
For teams building it themselves who want an experienced second opinion on the architecture, the vendors, and the trade-offs before they commit to them.
Implementation maintenance
+ token usage at cost
For workflows we built for you. A live AI workflow needs ongoing maintenance: models change, integrations drift, and edge cases arrive. We keep it working.
Tell us about your workflow problem
Bring us one problem. It might be a manual process you want to automate, or an AI workflow already in production that feels unreliable, unsafe, or held together with tape. We spend seven days on it and hand back an implementation-ready plan: what the workflow should do, where the controls belong, and what it costs to build and run.
If the plan convinces you, we can build it.
What you get
Initial Consultation · one-time · 7 days · $2000
Describe the workflow and where it breaks today. We read every submission ourselves, and if it is a problem we can solve, we send back a short questionnaire and a payment link to start the seven days.