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How We Work

We Call This the Happy Path.

Eight stages that turn scattered AI experiments into an operating capability. Scroll — watch the work find the path.

01 · Leadership alignment

Executive sponsorship, goals, and what success means — agreed before anything gets built. AI without a change agent at the top does not scale.

You leave withA named owner and a shared definition of done.

02 · Shared AI understanding and guardrails

The whole leadership team gets the same working picture of what AI can and cannot do today, and the rules of the road for using it safely.

You leave withGuardrails people can actually follow.

03 · Use case discovery

We ask the people doing the work where the friction is. Not “what AI do you want” — “what is slower, harder, or more manual than it should be?”

You leave withAn honest map of operational friction.

04 · Prioritization

Value against feasibility, scored candidly. Low-hanging fruit first, because early wins build the confidence that carries everything after.

You leave withA short list worth building.

05 · Roadmap development

Sequence, owners, and milestones. Crawl, walk, run — staged so risk stays low while momentum compounds.

You leave withA plan leadership can defend.

06 · Implementation and iteration

Built inside real workflows and iterated with the people who use them. This is where the aha moment happens — the instant AI stops being a novelty and starts improving someone’s work.

You leave withWorking solutions in production.

07 · Quantifying the impact

Hours returned, cycle time cut, throughput gained — measured, not assumed. The question is not whether you saved the time. The question is what you do with it.

You leave withNumbers a CFO accepts.

08 · Change management to ensure it sticks

Champions identified, habits reinforced, gains made permanent. Adoption is the product; everything else was the path to it.

You leave withAdoption that outlasts the engagement.
AI Consulting Services

Artificial Intelligence Management Consulting

Artificial intelligence management consulting fails most organizations because strategy and adoption were never the starting point. Pisteyo is a strategy-first firm built by former operators who stay until results are measurable.

Did you know?

Clients Achieve Speed-To-Results. The Numbers:

96% of AI projects fail because they aren't tied to overall company strategy. Pisteyo's clients are among the 4% who succeed in achieving measurable positive ROI.

$17.4M

Total Measurable Productivity Savings

400+

Automation Efficiencies Built

340%

Clients Average Return on Initial Investment

Why Projects Fail

Why AI projects fail

No Executive Sponsorship

AI without a change agent at the top does not scale. Momentum stalls the moment it hits the first organizational boundary.

Automating Broken Processes

If the underlying process was never examined, automation produces the same outcome faster. Let's not make bad processes faster.

Unclear Ownership

When everyone is responsible, no one is. Scattered accountability produces scattered results, and nothing scales.

Unprioritized Use Cases

Scattered experiments exhaust teams and produce nothing measurable. High-value use cases require deliberate prioritization.

Skipping Change Management

Tools without adoption are shelf ware. The technology is rarely the problem, the organization was never brought with it.

Starting in the Middle

Solutions built without strategy produce isolated wins that never connect to organizational performance. Strategy first, always.

Built by Operators

We’ve Been on the Other Side of the Fence.

Pisteyo was built by former operators — people who have run businesses, owned budgets, and been accountable for results. Not consultants who have only studied operations. That is why our engagements end in deployed workflows, not binders.

Meet the Operators
Proof, Not Promises

Where Pisteyo Delivers Results

AI adoption challenges are industry-specific. The adoption problem is universal. Pisteyo has deployed solutions across sectors where operational complexity is high.

Financial Services

"Cerity Partners is a national wealth management firm with over 1,500 colleagues servicing over 40,000 clients. We partner with Pisteyo to transform how we harness AI - and it has saved us 85% of the time it took to perform tasks like AR reconciliation." - Suk Shah, CFO, Cerity Partners

Industrial / Manufacturing

A national chemical company we worked with became the go-to experts in their industry with an AI chat agent powered by their content library. Now the company demoes their new technology at trade shows and has become the leading expert voice in their space.

Healthcare Operations

A healthcare organization we worked with was able to double their member count without substantially increasing headcount in their member services team. Their AI voice agent now handles 45% of member inquiries, freeing up their team to focus on high-impact calls.

AI Intelligence Briefing Driven By Speed To Value

An AI Intelligence Briefing is a focused 30-minute working session tailored to your business, your workflows, and where your industry is headed. - A clear view of how AI is changing competitive dynamics in your industry - If possible, a real workflow improvement demonstration live on the call - The strategy and operating principles that allow organizations to move from experimentation to measurable outcomes.

Frequently Asked

AI Management Consulting Questions

What is AI management consulting?

AI management consulting is executive advisory that turns AI from abstract potential into a disciplined strategic roadmap. It covers governance, organizational design, and the sequencing decisions that determine how AI shows up across your business model, before any tool is deployed.

How is Pisteyo different from a traditional management consulting firm?

Pisteyo pairs strategy with execution. Traditional firms deliver a roadmap and leave; we stay until the workflows change and the results are measurable. As one client put it, "like BCG, but you actually execute on the strategy."

What does an AI management consulting engagement include?

Engagements typically include leadership alignment on goals and guardrails, a prioritized use-case roadmap, deployment into real workflows, and a measurement framework. We start with executives because 96% of AI projects fail when they aren't tied to company strategy.

How quickly can we expect measurable results?

Most clients see their first measurable wins within a few months, not years, because we prioritize high-value, achievable use cases first. Across engagements, clients have realized $17.4M in measurable productivity savings and a 340% average return on initial investment.