Step 1 · Understand

Before executing, understand what already exists in AI and how it is used.

Many companies already have AI pilots that never made it to production, and AI agents nobody has cataloged, usually with no measured cost and no declared limit. Understanding why the pilots stalled and what already exists is the first step before any new agent.

Entry point

AI and Agent Diagnostic

What it unlocks

The AI pilots that stalled halfway, and the AI capabilities the company already has but does not fully benefit from, due to lack of visibility and proper management.

What you get

A complete survey of the AI landscape — pilots underway or stalled, tools, and adjacent automations: every agent, bot, and system integration identified, with a named human owner, declared scope, observed real authority, systems accessed, and estimated cost and lifecycle.

For each stalled pilot: why it did not reach production and what is missing (the right task, integration, authority, cost)
Exposure map: which agents touch personal, financial, or health data
Risk ranking by blast radius of each action from each existing agent
Shadow AI inventory: agents created in personal tools, with the migration plan to the governed harness
Cost reading per process, from inference and infrastructure invoices
A prioritized list of what to switch off, what to formalize, what to evolve, and — the part the business cares about most — what to scale

How it is measured

Census coverage, number of agents discovered that were not cataloged before, percentage of agents with a named owner at the end, and agentic cost attributed to processes that previously had no measurement.

How long it takes

Three weeks, normally.

Who it is for

CIO, CTO, Chief Data or AI Officer.

of organizations found unknown AI agents running in their own environmentCloud Security Alliancehave a formal process for decommissioning agentsCloud Security Alliance

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Second Opinion

What it unlocks

The decision to scale (or to stop) AI initiatives difficult to assess internally.

What you get

We conduct an independent, adversarial evaluation of AI initiatives or agents in use, whether authored internally or by third parties. We conduct red-team testing in controlled environments, including prompt injection, privilege escalation, out-of-scope actions, high-volume degradation, and behavior with missing or contradictory data. The report details the findings, ranked by severity and reproducibility, and provides clear recommendations on whether to continue, remediate, or discontinue actions.

How it is measured

Number and severity of findings reproduced, coverage of adversarial cases executed, and the decision the client's committee makes on the basis of the opinion.

How long it takes

Two to four weeks, depending on the agent's surface.

Who it is for

Risk, Compliance, Internal Audit, and CIO/CTO. It is also an instrument for departments before approving or renewing high-value contracts with third parties.

of organizations had at least one AI agent-related incident in 12 months — with data exposure in 61% of cases and operational disruption in 43%Cloud Security Allianceof Brazilian companies are evaluating new vendors for their AI projectsSinch, Brazil sample, via Olhar Digital

Executive Agentic Thesis

What it unlocks

The answer to the question the Board will ask: where, in the company, do AI and agents create real, defensible economic value — and in what order to adopt them.

What you get

A decision document that goes beyond a typical study, identifying where AI and agents create sustainable value in your company. It defines which processes are included / excluded and why, the implementation order over the next twelve months, the expected cost per unit of work for each process, and the governance model that supports the initiative. It also outlines the decision forum: who approves entry into production, who decides on decommissioning, and how often the agents are reassessed.

How it is measured

A prioritized portfolio with estimated value and cost per case, a formal committee decision, and a named owner for each case before any building starts.

How long it takes

Three to five weeks.

Who it is for

CEO, Board, CIO / CTO, and Chief Data or AI Officer.

of agentic AI projects will be canceled by the end of 2027 — due to cost, unclear value, or inadequate risk controlGartner

Authority and Delegation Matrix

What it unlocks

AI agent autonomy itself. As long as nobody writes down the limits of what the agent may do, nobody authorizes it to do anything of value.

What you get

AInda's most important artifact is the rarest on the market: a per-process matrix that, by positive enumeration, declares exactly what each agent is authorized to do — what is not explicitly listed cannot be done. For each agent's action, the matrix specifies: value limit, volume limit, systems that can be accessed, data that can be accessed, conditions for escalation, mandatory human gates, and a named person in charge.

Drafted for contractual annexation and signature
Liability cap and configuration drift clause
Explicit qualification of what is a best-efforts commitment and what is a results obligation

ProcessAgent

Contract annex, signed

Action	Value limit	Volume limit	Systems	Data	Escalate when	Human gate	Named person in charge
Reconcile an entry	Defined for this action	Defined for this action	Defined for this action	Defined for this action	Defined for this action	Defined for this action	Defined for this action
Triage a claim	Defined for this action	Defined for this action	Defined for this action	Defined for this action	Defined for this action	Mandatory	Defined for this action
Check a document	Defined for this action	Defined for this action	Defined for this action	Defined for this action	Defined for this action	Mandatory	Defined for this action
Any action that is not on the list cannot be carried out — by configuration, not by policy

Schematic illustration, not a screenshot.

How it is measured

Percentage of processes with enumerated and signed authority, number of actions with an active human gate, and agreed response SLA per incident class.

How long it takes

Three to four weeks.

Who it is for

Legal, Compliance, DPO, Operational Risk, and process owners.

automatically block agent actions that fall outside the authorized scopeCloud Security Alliance

See our 7 disciplines

This is where we generate the documents that turn questions into decisions.

“Can we let AI do that?” becomes “We can, up to these ceilings, within these authority limits, under these people.”

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