AI and human collaboration illustration

    AI your team will actually use, proven by real KPIs

    The EAIS Keystone Operating Model™ puts AI to work in your business. It reduces busywork so your people can shift to higher-value activities like strategy, innovation, growth, and client relationships. We lower operating costs and lift margin, with clear KPIs and governance built in from day one.

    Keystone Operating ModelGovernance built inAdoption that sticks
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    See Proof

    The AI boom is data-driven. Most organizations are not ready.

    AI initiatives fail when adoption is low, logic is opaque, and ROI is unclear. Our discovery process pinpoints one high-impact initiative you can ship in weeks—not years—without disrupting day-to-day operations.

    Book a 15-min Fit Call2-min intake → pick a time

    The Keystone Operating Model

    A complete system for putting AI to work through four practices that produce measurable ROI. The system is designed to capture dual ROI by lowering operating cost and redeploying saved capacity into higher margin work.

    1

    Start with quick wins to prove value in weeks.

    2

    Co-build transparently in your environment with no black boxes.

    3

    Embed governance from day one with built in controls and audit trails.

    4

    Drive lasting adoption with programs that certify your teams.

    Human-led AI Loop:
    DecideAutomateReviewAccelerate

    Experience

    EAIS is led by experienced operators and technologists who ship secure, adoption ready AI.

    Garry Williams

    Partner, Strategy

    16+ years in strategy and executive leadership driving organizational growth and transformation, with a recent focus on enterprise AI; Kellogg MBA.

    Connell O'Leary

    Partner, Data Science

    17+ years in digital strategy and data science leveraging advanced analytics to transform complex data into actionable insight; Kellogg MBA.

    Brett Anderson

    Partner, Technology

    20+ years implementing machine learning (AI) across computer vision, natural language processing (NLP) and search, in senior and CTO positions; University of Newcastle.

    Joshua Cheng

    Partner, Operations

    16+ years scaling operations and managing FP&A in the financial services sector; UC Berkeley.

    Solutions

    Every engagement starts with discovery. Then we ship at your pace, using a toolkit that makes value visible and captures dual ROI.

    Tier 1: Targeted Wins

    (time to first value measured in weeks)
    Outcome: Prove value on a single high impact workflow and create momentum.
    Examples: Faster management reporting, document triage, first line Q and A grounded in your data.
    Dual ROI pattern: Reduce cycle time and redeploy saved hours to higher value tasks like pipeline coverage or clearing exceptions.
    Powered by: AI Audit Kit, ROI Calculator, Use Case Backlog Starter.

    Tier 2: Optimize and Scale

    (expand over the following months and quarters)
    Outcome: Extend consistent results across a department with managed risk.
    Examples: Claims intake through adjudication steps, FP&A scenarios, supplier risk routing.
    Dual ROI pattern: Cut rework and variability while shifting capacity to throughput targets like more claims cleared per week or more scenarios analyzed per close.
    Powered by: Implementation Accelerators, Controls Cookbook, Drift Monitors, Runbooks.

    Tier 3: Enterprise Operating Model

    (multi quarter evolution across functions)
    Outcome: Embed the operating model into day to day work with decision hubs and telemetry.
    Examples: Guided workflows, proactive exceptions, real time decision support.
    Dual ROI pattern: Lower operating cost while moving headcount mix toward revenue growth and risk reduction activities that expand margin.
    Powered by: Reference Architectures, Operator Academy, Handover Package.

    Use case gallery:

    Healthcare compliance checksInsurance claims triageManufacturing quality controlFinancial risk profiling
    Book a 15-min Fit Call2-min intake → pick a time

    How We Deliver

    A proven path to value and adoption that sticks.

    Step 1
    Discovery Intake
    Step 2
    15 minute Fit Call
    Step 3
    60 minute Discovery
    Step 4
    Audit SOW
    Step 5
    Build and Prove
    Step 6
    Operate

    Discovery

    Multi stakeholder session to define the problem, success metrics, and constraints. Output: Discovery Summary and an Audit SOW.

    Audit

    Validate data readiness and risks. Deliverables include: ROI hypotheses, prioritized backlog, initial control design, and a Redeployment Plan with named roles, target activities, and KPI pairs that track both efficiency and redeployment impact.

    Build and Prove

    Safe sandboxes, evaluation sign offs, and red team review. Shadow mode on live data until results meet acceptance thresholds. Acceptance thresholds include: efficiency results and a first redeployment milestone.

    Operate

    Drift monitoring, rollback drills, training, and handover. Dashboards track: efficiency gains and redeployment impact side by side, reviewed monthly. Operator Academy certifies your team.

    Book a 15-min Fit Call2-min intake → pick a time

    Governance

    Governance built in from day one.

    Core controls:

    Approvals and sign offs
    Audit trails and dashboards
    Exception routing
    RBAC or ABAC
    PII guardrails
    Rollback drills

    Artifacts gallery:

    Control cards
    Model cards
    Drift reports
    Audit logs

    For Risk and Compliance:

    Audit trails, guardrails, and rollback drills from day one.

    For Finance and Operations:

    Approval flows and evidence that link savings to redeployment and margin outcomes.

    Book a 15-min Fit Call2-min intake → pick a time

    Proof

    We prove results with data, not promises.

    KPI snapshots:

    Efficiency: faster reporting • fewer errors • shorter cycle times

    Redeployment: more reviews completed per analyst • higher revenue contribution per FTE • fewer SLA breaches

    Mini case example:

    A financial services client saw a measurable drop in report cycle time within the first phase. Freed analyst hours were redeployed to revenue operations, improving coverage and contribution margin.

    How: automated multi system data extraction, exception routing with human review, and auditable control cards that passed compliance review.

    Artifact previews:

    KPI dashboardDual ROI dashboardEvaluation harness excerptTraining rubric

    Representative examples. The Keystone 1-pager includes an overview and anonymized diagrams used to validate outcomes.

    Industries

    Where AI impact is urgent and measurable.

    Featured verticals:

    Banking

    Financial Services

    Architecture

    Also: Healthcare, Insurance, Manufacturing and Supply Chain, and more
    Book a 15-min Fit Call2-min intake → pick a time

    Straight answers to common questions