Led by principals with a background in cyber security and product development. We treat an AI agent the way a security team treats any powerful new system: define what it may do, test how it fails, and keep a named human accountable.
AI Workflow Assessment
RFP response workflow · owner: Bid Desk
Objectives
Raise win-rate on qualified RFPs — without unsupervised submissions
Boundaries
Drafts and assembles; never submits; customer data stays in-tenancy
Authority
Reviewer sign-off before send; pricing or PII escalates to a named owner
Release pipeline
Illustrative dossier for a synthetic RFP workflow — shown to demonstrate the assessment's structure, not a client engagement or measured result.
Run by people who have secured and shipped real products.
The business problem
Agentic AI is moving from answering questions to taking actions: drafting, sending, deciding, spending. Four failure patterns show up again and again in workflows that looked fine in a demo.
An agent can produce a fluent, confident decision that its permissions never allowed — a submitted proposal, a priced quote, an email to a customer — and nothing in the output tells you it stepped outside its authority.
Generated answers cite sources that may not support them, or omit the fact that the model guessed. Downstream, someone makes a business decision on evidence nobody verified.
A workflow that retries too eagerly, over-loads context, or routes every step to the strongest model quietly converts a per-call cost into an operating cost nobody budgeted.
When confidence drops or a policy requirement is not met, the workflow should hand a named human a decision — not smooth over the gap and keep going.
None of this is new. Security teams learned to assume untrusted input, over-privileged accounts and silent failure decades ago. Product teams learned that a demo is not a release. Agentic AI has to relearn both, faster.
Instructions in a prompt are suggestions the model usually follows. They are not boundaries, because nothing checks them — and they say nothing about what happens when the model is wrong anyway. Selecting a stronger model raises the ceiling of quality but not the floor of behaviour. Real control over a business workflow comes from engineering: explicit permissions, machine-checkable policies, tests over the workflow's properties, decision economics for model and review choices, and named humans who own the material decisions. That is the discipline we bring — and it is auditable, which a prompt is not.
What the firm does
Our goal is not to maximize AI usage. It is to maximize useful business outcomes while making risks and operating costs visible.
Take one consequential workflow — an RFP response, a materiality review, a support triage — and examine its permissions, evidence quality, failure handling, release criteria and unit economics against a measured baseline.
Define what the workflow may do, how its outputs are tested, when it must escalate, and how choices between models, tools and human review trade off quality, cost, latency and risk.
Provenance, bounded tool use, draft–verify–approve, risk-tiered routing, retries and idempotency: patterns your engineers can implement again on the next workflow, not one-off fixes.
Make the operating cost visible, the evidence standards explicit and the residual risk stated — so leadership can decide to deploy, redesign or walk away with the trade-offs in the open.
Flagship service
Ten business days, one consequential workflow, four questions. The output is a decision dossier — current and target state, risks and controls, an evaluation plan, an economic model, and a clear go / no-go recommendation you can defend to a board.
What can this workflow be trusted to do without a human?
It establishes: Boundaries, review gates and escalation paths that are enforced, not suggested — and the failure modes testing has actually covered.
It does not give: Not a guarantee of safe operation in all conditions; untested cases remain untested.
What can it be tricked or manipulated into doing?
We model the workflow as an attacker would: untrusted inputs, tool blast radius, data boundaries, prompt injection and abuse cases.
It establishes: Permission gaps, data boundaries, prompt-injection exposure and the blast radius of each tool it can call.
It does not give: Not a penetration test or a certification; findings are scoped to the assessed workflow.
What does each accepted task actually cost?
It establishes: Model calls, context size, retries and compute per unit of useful output — measured against a baseline, not estimated.
It does not give: Estimates depend on your volumes, exception rates and integrations; we state the assumptions.
Is this workflow worth operating at all?
A build, redesign or stop decision with the acceptance criteria a product owner would demand.
It establishes: A decision model with quality, cost and risk explicit — supporting pilot, redesign, or a well-argued 'no'.
It does not give: No guaranteed savings; the output is a defensible decision with stated residual risk.
One defined workflow · 10 business days · up to three stakeholder interviews · up to 10 redacted artefacts · indicative fee ₹1,50,000 plus taxes. Full scope, exclusions and commercial terms on the service page.
Also from Banbreach
When an agent does something it shouldn't: a scoped engagement that reconstructs what it did, what it was permitted to do, and which controls failed — with confidence levels and stated limits. Before anything goes wrong, an Incident Readiness Review makes the workflow investigable by design.
The incident response serviceLive incidents use a monitored urgent channel, not the general form. Coverage, first-response time and what the service does not cover are stated exactly — never implied.
Urgent incident contactMethods
Each method has a page of its own — what it addresses, what it can establish, and, just as important, what it cannot.
Worked demonstration — illustrative
A bounded, observable workflow we use to demonstrate the methods in practice: a double-materiality review where the agent gathers and structures evidence, and every material decision stays with a named analyst. All documents, figures and outputs below are synthetic.
| Cluster | Evidence fragments | Citations valid | Routed to |
|---|---|---|---|
| Water stewardship | 31 | 29 | Analyst review (threshold) |
| Supply-chain labour | 18 | 14 | Analyst review — 4 fragments re-sourced |
| Board diversity | 7 | 7 | Below threshold — logged, not escalated |
Illustrative figures only. A real run reports the same structure with measured numbers, failure cases and the evaluation plan that produced them.
Interactive tool
Seven questions, answered honestly — about a minute each. At the end you will see which of the assessment's four questions — safety, security, efficiency, economics — is least answered in your organisation today.
Indicative and anonymous: your answers stay in your browser and are never submitted.
Insights
Notes and worked thinking on workflow assessment, design patterns, decision economics and governance — written to be useful, not to chase keywords.
Who you will work with
Banbreach is a boutique practice. You deal with the principal who does the work, from the first conversation to the delivered dossier.
[VERIFY: one-line role, e.g. security engineering and AI workflow assurance]
Leads [VERIFY: assessments / workshops / methods] . Personally performs every engagement they lead.
Verify: [VERIFY: LinkedIn / publications / talks]
Placeholder card: the structure is live; every marked slot is a fact the principal must supply and verify before publication. Nothing unverified is presented as a credential.
Every number we publish is either measured, sourced, or labelled as an estimate or hypothesis — and we keep those categories visibly separate.
A test suite is evidence over tested cases. A formal proof covers its stated property under its assumptions. Neither makes a whole business process safe — and we say so where it matters.
We do not sell certainty. We sell the ability to make a defensible decision: deploy, redesign, or decline — with the residual risk in writing.
Start with a 30-minute scoping conversation with a principal. If an assessment isn't the right next step, we'll say so.
A workflow that saves time but introduces unacceptable risk is not a success. That is the standard we assess against.