AI and Automation Solutions
for enterprises and growing
businesses.

Most AI projects end in a roadmap that gathers dust. P3 Adaptive helps you identify the right opportunity, build something useful fast, and create real momentum before the excitement wears off.

Let’s Talk See How It Works

Two weeks to actionable solutions. Guaranteed.

Most AI projects start with a roadmap. Ours start with a result.

1 Priority

Start where the ROI is clearest

2 weeks

Guaranteed time-to-insights, every engagement

10+

Years of exclusive Microsoft ecosystem expertise

100%

Senior consultants on every project, always

Why most AI initiatives stall

Most companies don’t have an AI problem. They have a prioritization problem.

Business leaders are getting hit with AI ideas from every direction. The challenge isn’t finding opportunities. It’s knowing which one is worth pursuing first.

That’s why so many initiatives stall before they create measurable business value. Teams start with technology instead of outcomes, and momentum disappears before anything useful gets built.

Let’s Find Your Fix

1

The pilot that never scaled

Your employees are already using ChatGPT, Copilot, and other AI tools. You just don’t have visibility into it yet, and nobody has a plan for turning what’s working into something the whole business can use.

2

The roadmap that gathered dust

Months were spent evaluating tools, vendors, and possibilities. The presentation looked great. The business still runs exactly the same way it did before.

3

The automation nobody uses

The workflow works. Technically. But it lives outside the systems people use every day, so adoption never happens and the value never materializes.

Most firms deliver recommendations. We deliver results.

Fast starts. Senior consultants. Solutions built on the Microsoft stack you already own.

Schedule Your Free 30-Minute Consultation

the process

Get what you need in weeks, not months.

While other firms describe vague “frameworks,” P3’s four-step process is specific, fast, and designed around one thing: something real in your hands in two weeks.

Start with a Discovery Call See How It Works

How it Works

Four clear steps:

Discovery

We find the two or three places where AI and automation will move the needle fastest. Then we ignore everything else. No six-month discovery phase. Just a clear answer on where to start.

Prototype

Two weeks. Real solution. Built on Power BI, Fabric, and Azure tools you already own. Not a slide deck with a roadmap. Something your team can actually use.

Iterate

We put it in front of real users with real data and refine from there. If something isn’t working, we say so and fix it. No theoretical scenarios. No consensus committees.

Scale

Once it works, we scale it and hand it off. You own it. We move to the next win. That’s the whole point.

Core Solutions

What we do — and what that actually means for your business.

Every service tied to a business outcome. No capability sheets. No vague value statements.

What We Do

What It Includes

What That Means for Your Business

AI Readiness Assessment

Audits your data, processes, and team capabilities to identify where AI can create the most value, fastest.

You walk away knowing exactly what to build and why —
not a 40-page report that goes on a shelf.

Enterprise AI Strategy

Maps your top AI use cases to business goals, with a phased roadmap that’s actually executable.

No more “AI strategy” that lives in PowerPoint. You get a plan your team can act on in weeks.

AI Agents for Business

Builds intelligent agents that automate high-volume,
repetitive decisions and workflows across your Microsoft
environment.

Your team stops doing the work that shouldn’t require a human. They start doing the work that should.

Microsoft AI Consulting

Copilot . Azure AI . Fabric . Power BI

Deep, exclusive expertise in the Microsoft AI stack — the platform you already pay for.

AI built on the tools you already own, not a new vendor
relationship that creates new dependencies.

Business Process
Automation

Identifies and automates manual, rule-based processes
that drain time and introduce errors.

Faster cycle times, fewer mistakes, and teams freed up for higher-value work.

AI Implementation & Build

Goes from prototype to production — not just strategy,
but hands-on build with senior consultants.

You get something that ships, not something that gets
scoped to death.

AI Governance Services

Verify Scope

Establishes the policies, controls, and oversight
frameworks that keep AI compliant and auditable.

You can say yes to AI without saying yes to uncontrolled risk.

Why P3

We threw out the traditional consultancy playbook.

Large consultancies are built for large organizations. Generic AI boutiques go wide instead of deep. P3 is built for mid-market companies that need results before they can afford to wait.

The big firm nightmare

Large consultancies love selling transformation and infrastructure-first roadmaps — while your real business questions go unanswered for years.

FORTUNATE 500 APPROACH

  • Infrastructure-first approach — years of data plumbing before delivering tangible business value
  • Endless data strategy assessments, without actual building
  • Bloated enterprise architecture review committees
  • Vendor selection committees with dozens of stakeholders
  • IT approval gates for every request
  • Change management for “user adoption”
  • Compliance reviews before giving the first round of feedback
  • Timeline: 1–3 years to see impact

Your “Lean” advantage

You’re lean. Nimble. Your systems aren’t as complex. You can prioritize at speed, scaling exponentially.

MID-MARKET COMPANY APPROACH

  • Identify high-impact business use cases
  • Build a working prototype in two weeks
  • Test with real users and real data
  • Iterate based on actual feedback
  • Scale what works, kill what doesn’t
  • Timeline: 2 weeks to business impact
Let’s find your data advantage

Schedule your free, no B.S., 30-minute consultation today

THE HONEST COMPARISON

See exactly how P3 stacks up.

We’re not the right fit for every organization. But if you’re a mid-market company that needs AI and automation solutions without enterprise overhead and enterprise timelines, the difference is hard to ignore.

Traditional Consultancies

AI-Only Consultancies

P3 Adaptive

Time to First Results

Months — roadmap phase alone

Weeks to months

2 weeks — guaranteed

Microsoft Ecosystem Depth

Multi-cloud generalist

Varies widely

Exclusive — Power BI, Copilot, Fabric, Azure AI

Who Does the Work

Senior team sells; junior team delivers

Often offshore or POC-only

Senior consultants throughout

Business vs. Tech Focus

Tech-led; strategy is an add-on

Technical-first

Business goals first, always

Pilot to Production

Notorious for stalled POCs

Often stops at prototype

Built to ship, not to demo

Price Point

Enterprise pricing for mid-market problems

Varies; often no
governance

Right-sized for growth-stage companies
Let’s find your business accelerator
Mike Miskell

Director of Process Improvement, Kaman Industrial Technologies

“Lifechanging. It’s made me a better analyst, and I recommend this courses to folks all over my organization. We’re able to build complex models in a matter of weeks, and use a few great DAX patterns to fix reporting issues that otherwise would have taken months or years to develop!”

Kailey Tachick

Executive VP of Finance, Systems & Culture, Dairyland Electrical Industries

“Partnering with P3 was one of those clarifying moments about what great partnerships could be. We found people with fantastic expertise who were a pleasure to work with and delivered really good work. It sounds basic, but that combination is actually challenging to find, and we really appreciate the partnership.”

Real Results

Not “AI success stories.” Actual numbers from real companies.

P3 publishes named case studies with specific results. Here’s what that looks like in practice.

How Kuraray turned Power BI data into decisions.

“That’s what Power BI does. It gives you the tools and techniques to drill down, look at the data in different ways, and get what you need to make decisions.”

Read Case Study

Reached their goal of reducing inventory by 18% in just one month.

Successfully braced for the impact of Covid-19.

Plan to eliminate all manual reporting and rely on Power BI across their organization.

Real questions. Straight answers.

AI and automation solutions get talked about like they require a full transformation before anything useful happens. In practice, you’ll see more progress by starting with one real problem, solving it quickly, and building from there. If you’re evaluating AI and automation solutions for your enterprise or growing business, the real questions are how this fits into your existing systems, how quickly it produces business outcomes, and whether it justifies the investment.

An AI readiness assessment evaluates your business operations, existing systems, and AI systems to identify where AI will deliver the highest return first.

Most companies are more ready than they think, but benefit from clearer prioritization on where to start.

A strong assessment surfaces practical opportunities in days and works within your existing tech stack rather than requiring major change.

Artificial intelligence consulting services connect AI automation tools and platforms to measurable business outcomes.

Teams often invest in tools before tying them to a KPI that matters.

Consulting turns AI tools into results by embedding them into real workflows where they get used.

Business process automation works best on repetitive tasks like data entry, reporting, reconciliation, and workflow automation.

Any manual work repeated across multiple systems or spreadsheets is a strong candidate for AI automation for business.

The goal is to automate routine tasks that consume time and redirect effort toward higher-value decisions.

Traditional automation follows fixed rules and executes predefined steps.

Machine learning identifies patterns in data and improves predictions over time.

Generative AI uses large language models and natural language processing to produce new outputs, often combined with other AI capabilities like computer vision in real solutions.

AI automation tools execute defined processes, while AI agents evaluate inputs and act across complex workflows

AI agents can monitor data, automate tasks, and trigger automated workflows without waiting for manual input.

They perform best when built on connected systems because they amplify the quality of your existing data foundation.

AI implementation services are designed to integrate with existing systems, not replace them.

Most businesses already have the necessary tools across CRM, ERP, and reporting, but they benefit from stronger cross-system integration.

Within the Microsoft ecosystem, Power BI, Fabric, Azure, and Microsoft Power Automate enable automation solutions to operate across multiple systems without introducing a new platform.

An enterprise AI strategy defines high-impact use cases, sequences them, and ties each to measurable outcomes and real business value.

It aligns AI solutions, automation platforms, and enterprise automation with your existing environment and governance needs.

A strong strategy leads to something working early, not just a longer planning cycle.

No. Modern AI-powered tools are built for business users through no-code or low-code interfaces.

If there is a learning curve, it is usually tied to how the solution was implemented rather than the user.

AI should enhance productivity within business operations, not introduce new complexity.

A well-scoped project can produce a working result in about two weeks.

AI implementation services typically expand within the same quarter once the initial result proves value.

Timelines tend to expand when the scope is unclear or not tied to a specific outcome.

Scaling starts by replicating successful automated workflows rather than redesigning from scratch.

Governance, access control, and architecture must be established early to maintain operational efficiency and control operational costs.

Cost savings follow disciplined scaling and consistent execution.

Yes. AI automation for business often improves customer behavior analysis, customer engagement, and marketing efforts without requiring a new platform.

Predictive analytics and data analysis surface insights that manual processes miss and support better timing and decision-making.

These solutions integrate into existing systems to support real business operations.

AI solutions are deployed within your existing environment. Sensitive data remains inside your controlled systems with governance and access policies defined before implementation begins. Unstructured data and poor data quality are addressed during scoping so solutions reflect real conditions, not ideal ones.

Most AI initiatives stall not because the technology doesn’t work, but because nothing meaningful gets built early enough to create momentum.

Start with one problem that’s worth solving, prove it works in a couple of weeks, and then scale what delivers results.

Happiness.
Guaranteed.

Two weeks to business impact that generates excitement. Or walk away without cost. No risk. No B.S. Just happiness. Guaranteed.

Find Out How