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Intelligence

AI built to reach production.

Whether the AI roadmap is missing, the system is unbuilt, or the models are drifting, this is where to start.

Our CapabilitiesGet AI Report

How We Approach AI Work

Every Intelligence engagement runs on The Pivot. It is the reason our AI reaches production when most do not.

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  • 01

    Discover

    Assess your data, systems and AI readiness before choosing a use case.

  • 02

    Define

    Pick the use case worth funding and set how success is measured.

  • 03

    Design

    Decide the architecture, data flow and guardrails before anything is built.

  • 04

    Build

    Engineer the system and integrate it into the platforms you already run.

  • 05

    Launch

    Move to production with evaluation and monitoring already in place.

  • 06

    Evolve

    Track quality and cost so models keep performing after launch.

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Entry Point

Each one works on its own. Most clients move through several.

Put Us on It

  • AI Strategy & Roadmap

    Discover · Define · Design

    Get an honest read on AI readiness, the use case you can fund, and a sequenced roadmap, your team can start executing.

    • AI Readiness & Maturity Assessment
    • AI Opportunity Assessment
    • AI Strategy & Roadmap
    • AI Operating Model
    • AI Adoption & Change Enablement
    • Responsible AI & Governance Framework

    Start here if your pilots stalled, or you know AI matters but not where it applies to you.

    Explore AI Strategy & Roadmap

  • AI Engineering

    Design · Build · Launch

    Get AI systems built, integrated into your existing platforms, and running in production.

    • Generative AI Engineering
    • Agentic AI Development
    • Machine Learning
    • NLP & Conversational AI
    • Computer Vision
    • Predictive AI
    • AI Application Development
    • AI Integration

    Start here if the use case is validated, the business case is signed off, and nothing has been built.

    Explore AI Engineering

  • Data Intelligence

    Runs underneath all six stages

    Get fragmented systems connected, quality measured, and a foundation AI can actually use.

    • Data Engineering
    • Data Platform Development
    • Data Pipeline Engineering
    • Data Integration
    • Data Modernization
    • Analytics & Business Intelligence
    • Data Governance
    • AI-Ready Data

    Start here if two teams give you two different numbers, or a readiness assessment named data as the gap.

    Explore Data Intelligence

  • AI Operations

    Evolve

    Continuous evaluation, cost attribution, and the evidence trail that proves your models are behaving.

    • MLOps
    • LLMOps
    • AI Monitoring
    • Model Evaluation
    • AI Performance Optimization
    • AI Governance
    • Responsible AI
    • AI Lifecycle Management

    Start here if nothing changed, but the outputs got worse, or the AI bill went up, and nobody can explain it.

    Explore AI Operations

  • AI Pods

    Any stage, or all of them

    A complete AI team, embedded in your business, owning one outcome.

    • Embedded AI Teams
    • AI Engineering Pods
    • AI Product Pods
    • Cross-Functional AI Teams
    • On-Demand AI Specialists
    • AI Staff Augmentation

    Start here if the direction is agreed and what is missing is the people to deliver it.

    Explore AI Pods

Not Sure Which Stage Are You At?

The AI readiness assessment takes four weeks and produces one document including an honest read on where your organization stands, which use cases are worth pursuing, and what must be true before any of them start.

Request an Assessment
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What We Believe About AI

  • The Model Is Rarely the Problem

    Almost everything is buildable now. What decides whether AI pays is the choice of problem, the state of your data, and whether anyone is watching after launch.

  • If It Does Not Reach Production, It Did Not Happen

    Ninety-five percent of enterprise AI pilots produce no measurable impact. We select work on whether it can finish, not on whether it will demo well.

  • Someone Has to Own It a Year Later

    Models degrade quietly. Cost climb without explanation. Most partners are gone by the time either becomes visible.

What We Build With

  • Model platforms

    • OpenAI
    • Anthropic
    • Azure OpenAI
    • AWS Bedrock
    • open-weight models

  • Frameworks and orchestration

    • LangChain
    • LlamaIndex
    • PyTorch
    • TensorFlow
    • scikit-learn
    • Hugging Face

  • Data and retrieval

    • Snowflake
    • Databricks
    • BigQuery
    • PostgreSQL
    • pgvector
    • Pinecone
    • Apache Kafka

  • Operations and evaluation

    • MLflow
    • LangSmith
    • Arize
    • Weights & Biases
    • automated evaluation harnesses

  • Standards we work to

    • EU AI Act
    • NIST AI Risk Management Framework
    • ISO/IEC 42001
    • sector-specific requirements

See Us in Action

  • Four colleagues gathered around a desk, smiling at a laptop

    SaaS & Technology

    Cutting Support Response Times by 40% with an Enterprise Knowledge Assistant

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Tell Us Where Your AI Stalled

Describe what you have piloted, what reached production, and what did not.

Talk to us about AI
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