AI Operating Partners and Builders

The hard part of AI is not the AI.

Traditional consultants deliver the analysis but not lasting change. AI specialists deliver the technology but not the results. We deliver the insights that move the business and the capability that lasts.

We are operators with analyst roots who integrate your data and systems into custom models and agents that power strategy, efficiency, and growth.

Opportunity

AI is everywhere. The financial value is not.

  • 95%of organizations see zero returnMassachusetts Institute of Technology, 2025
  • 6%report significant value from AIMcKinsey & Company, 2025
  • 5%get substantial value from AIBoston Consulting Group, 2025

The technology shows what is possible. The value comes from mastering the fundamentals: your data, your processes, and your P&L.

Approach

AI delivers value when it understands your data and your business.

We start with the foundation. We integrate your key systems and encode how your business works: your definitions, your metrics, and your logic. The model works from that single source of truth, so the answers are correct, not just fast.

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rises as AI works from integrated dataUses that run on an out-of-box model, such as meeting notes, content generation, and outbound emails, sit low on value. Value rises with data integration: financial reporting, customer segmentation, churn scores, and coding agents sit in the middle to upper range, and pricing and promotions, demand planning, and product mix and margin sit highest. High Low Value Out-of-box model Data integrations Data sources Meeting notes Content generation Outbound emails Competitive research Smart routing AP workflows Financial reporting Customer segmentation Churn scores Coding agents Pricing & promotions Demand planning Product mix & margin
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rises as AI works from integrated dataUses that run on an out-of-box model, such as meeting notes, content generation, and outbound emails, sit low on value. Value rises with data integration: financial reporting, customer segmentation, churn scores, and coding agents sit in the middle to upper range, and pricing and promotions, demand planning, and product mix and margin sit highest. High Low Value Out-of-box model Data integrations Data sources Product mix & margin Pricing & promotions Coding agents Demand planning Churn scores Financial reporting Customer segmentation AP workflows Smart routing Competitive research Content generation Outbound emails Meeting notes

Trusted decisions take business fluency, data mastery, and AI expertise. We bring all three.

  • Business fluency

    The levers that move the business, metrics reconciled to the P&L, and insight over output.

  • Data mastery

    Your systems integrated into one foundation, and the business logic to reconcile messy data.

  • AI expertise

    A model configured to your rules, with protocols for consistent, honest answers.

Work

Examples of what we build.

AI Analyst

The AI Analyst brings your sales and marketing systems into one foundation with your definitions encoded to provide a single source of truth for the decisions that drive the business. The team asks in plain language and gets sophisticated, reliable answers in minutes. Reporting runs itself, and you have the greatest analyst you have ever worked with at your fingertips, like a multimillion-dollar consulting team that never leaves.

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the AI Analyst worksFour source systems feed one data foundation in three layers: Bronze, a raw copy; Silver, the analyst layer; Gold, executive KPIs. The AI Analyst adds business rules, a data schema, and an operating manual. The team gets insight on demand in plain language, automated reporting, and recommendations on value drivers. System 1 System 2 System 3 System 4 One data foundation Bronze raw copy Silver analyst layer Gold executive KPIs The AI Analyst Business rules definitions and metrics Data schema structure and grains Operating manual scope and workflow Your team Insight on demand ask in plain language Automated reporting self-service dashboards Value drivers recommendations

Demand Planning Agent

The Demand Planning Agent pairs a statistical planning model with the analytical horsepower and multi-step reasoning of AI. Each week it reads demand and inventory from the integrated data, drafts the plan, and delivers a recommendation with its reasoning. The automation does the work; the team works the plan with the model as a thought partner. Every decision feeds back, the model gets sharper every cycle, and the investment compounds. Fortune 500 capability without the Fortune 500 budget.

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the Demand Planning Agent worksThe data foundation supplies demand, inventory, and production history. Each week the planning model forecasts demand by SKU and location, nets it against current inventory, applies constraints, and drafts production plan v1. The AI agent revises the plan, documents why, and delivers plan v2. The team sets the final plan, tracks attainment against plan, and asks questions as needed. Everything the team decides feeds back and tunes the model. Data foundation Planning model runs weekly in the database AI agent runs weekly Your team Demand sales and orders Inventory distributor and commissary Production history, attainment, labor Demand forecast SKU and location minus Current inventory on hand shaped by Constraints allergens, labor, run sizes Production plan v1 draft plan Revises the plan context and history Documents why rationale logged Production plan v2 weekly schedule Final plan decisions, open questions Attainment performance against plan Questions ask, probe, trigger tuning Team decisions feed back and tune the model

Example impact

  • 2–3%revenue increase identified
  • 3–4xprojected first-year return on the engagement
  • 20hours a week returned to the team
  • Ten to onereporting cut from ten steps to one

Process

We learn the business before we build.

Every company runs on its own metrics and workflows, so we start by mapping the decisions that drive the business. Engagements are tightly scoped around your top-priority use case and managed in three phases.

  1. 01

    Discovery & Setup

    • Map people, systems, and processes
    • Find where the systems disagree
    • Confirm the priority questions
  2. 02

    Build & Refine

    • Build the pipeline and the layers
    • Encode the business definitions
    • Test until the answers hold
  3. 03

    Enablement & Hypercare

    • Deliver the priority analyses
    • Coach each user directly
    • Leave the team self-sufficient

We build the tool. Then we build the skills to run it.

AI changes how the work gets done. Reskilling the team is not a side effect of the transformation. It is the transformation. We work side by side with your team and coach each user directly, so the team runs it on its own by the end.

About

Operators with analyst roots.

Paul Jasinowski

Paul Jasinowski

Founder & Partner

Paul is a strategy-to-execution operator with 15+ years driving growth and transformation. He began at McKinsey, partnering with more than 20 executive teams, then spent five years as VP of Strategy & Operations in B2B SaaS running pricing, business systems transformations, integrations, and procurement. He brings structure to ambiguity, aligns cross-functional leaders, and drives execution where strategy alone falls short. At Brown he captained the football team as an All-Ivy offensive lineman, the position that lays the foundation for the team’s success.

Why SteelThread

In bridge building, a steel thread is the first line strung across the gap. It establishes the connection to a new destination.

In software, a steel thread is the first working version of a system running end to end through every layer. It proves the vision and establishes the path forward.

This is how we operate: we build a strong foundation to support each new capability.

Contact

Every bridge starts with a line.

Drop us a line: contact@steelthreadai.com

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