AI Workflow Risk & Readiness Assessment
Before We Automate Anything
Most teams feel pressure to "use AI," but not all workflows should be automated — and not all automation should look the same.
Before building anything, we start by understanding where AI can operate safely, where it cannot, and what guardrails are required for responsible use.
This assessment exists to answer that question clearly.
What this assessment is
The AI Workflow Risk & Readiness Assessment is a short, paid engagement designed to evaluate your existing workflows and determine:
- Which workflows are unsafe to automate
- Which workflows may benefit from AI assistance
- Where human oversight is required
- What risks must be explicitly controlled
- What kind of system architecture would be responsible
The outcome is not a demo or a prototype.
The outcome is clarity.
When this is a good fit
This assessment is designed for teams who:
- Already have real operational workflows
- Deal with documents, decisions, or judgment-heavy processes
- Feel pressure to introduce AI but hesitate because mistakes would matter
- Want to move forward deliberately, not experimentally
If you're looking for a quick proof-of-concept or a pitch-deck demo, this is not the right starting point.
What we evaluate
The assessment focuses on a small number of representative workflows — not everything at once.
For each workflow, we examine:
- Inputs (documents, emails, structured data)
- Decisions being made
- Outputs produced
- Who is accountable today
- What would happen if the system were wrong
We then analyze risks across dimensions such as:
- Interpretation and ambiguity risk
- Hallucination and fabrication risk
- Escalation and visibility risk
- Auditability and traceability
- Cost and usage volatility
- Operational failure modes
This allows us to distinguish between:
- Workflows that should remain human-controlled
- Workflows suitable for assisted automation
- Workflows that could be automated under supervision
- Workflows that may approach autonomy with sufficient guardrails
What you receive
At the end of the assessment, you receive a concise, structured report that includes:
- An executive summary with clear recommendations
- A classification of reviewed workflows by automation suitability
- Identified risks and failure modes
- Required guardrails and control points
- A high-level architectural approach appropriate to your constraints
- Clear next-step options
This report stands on its own — even if you choose not to proceed further.
How engagements typically work
Early engagements are collaborative by design.
The core execution architecture already exists, but each system is intentionally refined against real-world constraints: actual data, real users, and real failure modes.
This approach prioritizes correctness and durability over speed or novelty — and reflects how systems meant to operate in production are responsibly built.
What this is not
This assessment is not:
- A prototype
- A demo
- A commitment to build
- An experiment with live data
It is a deliberate step toward making informed decisions about automation.
What happens next
Based on the findings, teams typically choose one of the following paths:
- Take no action (and understand why)
- Automate a single workflow safely
- Revisit automation after prerequisites are addressed
- Proceed to co-design and implementation of a production system
If implementation is appropriate, we can take responsibility for building the system under the constraints identified in the assessment.
Starting the conversation
If you're considering AI for workflows where mistakes would be costly, this assessment is often the right place to begin.
You don't need to prepare anything formal — just a willingness to talk honestly about how your systems operate today.
Start a conversation →