Map frequency, users, handoffs, exceptions, current effort, owner, and the outcome that would justify change.
AI Opportunity Assessment Paid engagement
Decide Where AI Is Worth Applying in Your Business
Before investing in tools or development, examine the workflows, data, systems, controls, and operating costs behind the opportunity. Argos helps you decide where AI could create measurable value, what foundation is missing, and which next step is justified.
The AI Opportunity Assessment is a paid engagement. Its scope is agreed around the business questions you need to answer.
The Discovery Call determines fit. Customized analysis and recommendations begin within the paid engagement.
Evidence dimensions
Definition and fit
Turn several AI ideas into an investment decision.
The AI Opportunity Assessment is Argos's paid analysis of where AI can create measurable business value and what workflow, data, system, control, and operating foundation is required.
When a smaller next step makes sense: If one task is already well defined, a focused paid Prototype or AI Workflow Implementation may be sufficient. A deterministic rule or configuration change may solve the problem without AI.
- 01
Several ideas need prioritization
Recurring work is visible, but leadership does not know which task is worth improving first.
- 02
Data and systems are fragmented
Information is spread across applications, documents, and manual processes.
- 03
Material assumptions remain untested
The benefit depends on accuracy, approvals, adoption, integrations, or cost that has not been validated.
- 04
Alternatives need comparison
Existing platforms, custom work, rules-based automation, integration, and non-AI options are all plausible.
- 05
An owner can make the decision
A business owner can involve the right people, explain the workflow, and approve priorities and acceptable outcomes.
Assessment coverage
Examine the whole cost of completing the work.
The scope defines which workflows, interviews, source reviews, technical experiments, economic analysis, artifacts, and review sessions are included.
Identify sources of truth, quality, permissions, interfaces, system constraints, and whether foundation work is required.
Define whether AI retrieves, recommends, prepares, or acts; examine review, permitted actions, evidence, and failure response.
Control LayerCompare supported configuration, deterministic automation, integration, and custom components. Record what remains untested.
Consider implementation, licensing, models, infrastructure, review, exceptions, maintenance, and support.
Identify what must happen first, who is needed for validation, and who owns operation after release.
What you receive
A decision package with evidence and open questions.
The proposal defines the included workflows, access, interviews, analysis depth, artifacts, and review sessions. The assessment does not automatically include production software, a security audit, or a working prototype.
- 01
Scoped opportunity inventory
Business owners, workflows, and intended outcomes.
- 02
Opportunity comparison
Value, readiness, feasibility, dependencies, and operating cost.
- 03
Risk and assumption record
Material risks, untested assumptions, and unresolved questions.
- 04
Recommended sequence
Foundation work, validation candidates, and opportunities to defer.
- 05
Validation brief
Acceptance measures and decision criteria for the selected next step.
How it fits our process
Use the findings to choose the next step.
The assessment sits within Discovery. It informs Prototype, where a selected workflow and its highest-risk assumptions can be tested. Build, Measure, and Improve follow only when justified and separately agreed.
Discovery
Compare opportunities and foundation through the paid assessment.
Assessment lives herePrototype
Test the selected workflow and assumptions with appropriate evidence.
Build · Revise · Defer · StopBuild
Implement only the solution supported by evidence and agreement.
Measure
Observe real quality, use, effort, cost, and outcome.
Improve
Prioritize the next change from operating evidence.
What we need from you
Bring the people who understand the work.
A business owner, representative users, and system owners explain what happens today, where exceptions occur, and what a useful improvement would look like.
- 01
Business owner
Sets priorities, intended outcomes, and acceptable tradeoffs.
- 02
Representative users
Explain the real task, workarounds, exceptions, and review effort.
- 03
System owners
Clarify data, access, interfaces, platform capabilities, and constraints.
- 04
Technical and security participants
Join where access, consequence, data handling, or controls require them.
Before sharing material, we agree on scope and handling. Do not send credentials, customer records, or confidential system details through the inquiry form.
Common questions
Questions about the assessment.
Will the assessment tell us which AI tool to buy?
It may recommend a platform direction when evidence supports it. The decision starts with workflow and requirements; licensing, controls, and account-specific capabilities need verification.
Does it include a guaranteed ROI calculation?
No. It can include an economic model with explicit baselines, ranges, and assumptions. Actual value depends on implementation, adoption, review effort, and operating results.
How long does it take and what does it cost?
That depends on the workflows, system access, stakeholder availability, and questions to resolve. Deliverables, timing, and price are agreed before work starts.
What if AI is not the best answer?
The recommendation may be configuration, integration, conventional automation, process improvement, or no project. Identifying that early is a valid outcome.
Compare the opportunities
Bring the AI Ideas You Need to Evaluate
Tell us which recurring work you want to improve and what remains uncertain. We will determine whether a paid assessment, focused prototype, or another path is appropriate.
Customized workflow, technical, control, and economic analysis is paid work.