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Enterprise AI

AI Strategy & Advisory.

Independent strategy and hands-on counsel to turn AI ambition into a capability your enterprise can run.

Independent advice. Applied experience. Enterprise focus.

Many moving parts. One direction.

Strategy, governance, and execution form one connected operating system.StrategyGovernanceExecution

Connected by design

Evidence over opinion.Accountability by design.Value you can explain.

The opportunity

Start with what
the business needs.

Explore a business priority to see the opportunity, the work, and the leadership decision behind it.

Opportunity in focus
01Customer context
02Relevant proposal
03Commercial review

Illustrative scenario · not a client result

Commercial teams

Help expertise reach the next customer.

Bring approved research, product knowledge, and customer context into the proposal process, with an accountable commercial owner.

Potential value
More capacity for relevant, well-informed proposals.
The leadership decision
Which customer segments deserve the investment—and who owns proposal quality?
What to measure
Proposal cycle time, qualified conversion, and review rework.
Discuss this opportunity ↗

Why this lens: McKinsey’s 2026 survey associates stronger reported AI results with growth ambitions, workflow redesign, and leadership commitment. Read the research ↗

The work changes

Better answers.
A better way to work.

Follow a customer request from arrival to resolution. Explore the handoffs, evidence, and human judgment around the AI.

A customer service example

Illustrative workflow · no performance claims

01 / Receive · With AI

Start with a well-understood request.

AI can suggest a category and summarize the request. A person sets the service policy and owns exceptions and routing rules.

Choose any stage to explore.

Human + AI

Make the boundary explicit.

The right division of work depends on the task, the evidence, and the consequence of being wrong.

Delegate bounded tasks

Classification, retrieval, and formatting within approved data access and clear rules.

Collaborate on the work

Draft, compare, and investigate with sources a person can inspect.

Keep judgment accountable

Policy, commitments, exceptions, and consequential decisions stay with named owners.

Collaboration and delegation are different patterns of AI use. Explore Anthropic’s Economic Index ↗ Its findings describe Claude usage; the workflow above is Alphaworx’s illustrative example.

What your assessment reveals

A clearer picture.
An accountable next move.

Our assessment connects business opportunity, operating exposure, and investment decisions. Explore our fictional Meridian Industrial Group example to see how findings become priorities, owners, and an action plan.

An Alphaworx assessment brings together an exposure heat map, opportunity portfolio, AI economics, and a sequenced action plan. Enable JavaScript to explore this fictional Meridian Industrial Group example, or discuss an assessment with us.
How we help

A governed operating system, not a subscription.

Access to a model isn't a strategy. We help enterprise leaders install the structure that turns scattered pilots into a system that can be run, measured, and defended.

Step 1

Initial Assessment

We run the same diagnostic we'd run ourselves — cost, data exposure, security, and ownership — to find what's actually broken before recommending anything.

Step 2

Platform Hub Design

We help you stand up a thin platform hub with real mandate — the structure that turns scattered pilots into a governed system.

Step 3

Operating Cadence

We install the ongoing cadence — portfolio discipline, vendor strategy, agent readiness — that keeps the system defensible as it scales.

Ongoing

Executive AI Advisory

Independent counsel for CEOs and leadership teams on AI investment, accountability, and the operating decisions that shape what comes next.

An illustrative first 90 days
DAYS 0–30
Establish the baseline, align leadership, and select the first opportunities.
DAYS 31–60
Stand up the core control-plane pieces. Start cost show-back so teams see their own usage.
DAYS 61–90
Review pilot evidence, decide the next investment, and establish the ongoing cadence.

The leadership test

Five questions.
A clearer strategy.

These are the conversations that turn an AI initiative into something an enterprise can own and operate.

Explore the Meridian assessment walkthrough ↗
01What business outcome must change?

Name the workflow, its current baseline, the target outcome, and the person who owns the value. Consider whether AI is the right intervention.

Bring to the table: a measurable business problem.

02Who can make the hard decisions?

Make funding, approval, escalation, and stop decisions explicit. A sponsor needs a mandate that survives competing priorities.

Bring to the table: named decision-makers and decision rights.

03What evidence earns the next investment?

Agree what a pilot must demonstrate before it scales. Include quality, workflow adoption, full operating cost, and business value.

Bring to the table: a baseline, evaluation plan, and hold or stop criteria.

04Where are the boundaries?

Define which data, actions, and commitments the system may handle. Establish human review, escalation, and recovery appropriate to the use case.

Bring to the table: approved scope, permissions, and an accountable risk owner.

05How will the strategy stay current?

Set a recurring review of outcomes, costs, adoption, incidents, and vendor changes. Use the evidence to renew priorities and retire work that no longer earns its place.

Bring to the table: a review calendar and a decision record.

Our discussion prompts draw on operating experience and the continuous governance approach in the NIST AI Risk Management Framework ↗. This is a conversation guide, not a maturity score or certification.

Industries

The method is the same. The acceptable design isn't.

A support chatbot means something different by sector — brand voice in retail, patient safety in healthcare, adverse-action rules in financial services.

Financial Services

Advisor enablement, underwriting support, fraud detection — under model risk management, adverse-action, and explainability requirements.

Healthcare & Life Sciences

Clinical documentation, prior authorization — where protected health information and clinical safety set the ceiling, not the roadmap.

Professional Services

Research, drafting, diligence — where confidentiality and citation accuracy are the product, not a feature to bolt on later.

Work with us

Let’s find your next move.

Start a conversation

What would you like to discuss?

Tell us a little about your organization and where you’re looking to take AI.

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