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Abstract architectural section: layered forest-green and pale steel strata align against an ink-navy field, standing for multiple technical disciplines brought into one operating picture.

Fractional IT consulting

Senior IT engineering, done by the person who scopes it.

Infrastructure, identity, security, IT operations, cloud, workflow automation and AI for mid-market and enterprise organizations. 25+ years of hands-on work. No bench, no handoff.

The record behind the firm

25+

Years of hands-on enterprise engineering

Delivered inside the organizations that depended on it.

6

Sectors

Federal, banking, logistics, retail, healthcare and SaaS.

FedRAMP High

Authority to operate

Achieved for a secure virtual desktop platform on AWS GovCloud.

Who the work is for

Three roles, usually in the same room.

At 800 users or 30,000, the decision usually rests with a small group and no dedicated team behind it.

  • IT and infrastructure leaders

    An estate grown through acquisitions and deferred upgrades, run by a team with no spare capacity. Senior engineering on the hard work, without a permanent hire.

  • Security and identity leads

    An access model built for a perimeter that no longer exists, now fielding requests from AI systems and partners. Identity rebuilt as the control plane, without disrupting operations.

  • Executives without a CIO

    Costly technology decisions landing with an executive not hired to make them. Independent judgment on cost, risk and sequencing, before a vendor narrows the options.

Practice areas

Where engagements usually begin.

Each practice area can be engaged on its own, but in delivery they overlap: an identity problem shows up at the service desk, and an AI rollout stalls on an inaccurate directory.

CloudCloud platformsWorkload identitySaaS & workflowsSSO and provisioningAI agentsDelegated accessCI/CD pipelinesFederated deploysServersPAM and tiered adminEndpointsDevice trustFirewallsRules by identityITSM & CMDBJoiner-mover-leaverIdentity control planeDirectoryLifecycleIAGSSO & MFAConditional accessPAMPIMAuditZero TrustVerify explicitly · Least privilege · Assume breachOn-premises

How an engagement runs

Four phases, and a defined end to each one.

No open-ended retainer. Each phase ends with a written deliverable the client owns and a point where the engagement can stop.

PHASE 1 · 1–2 WEEKSDiscoverStakeholder interviewsCurrent AI and identity inventoryData sensitivity mapDELIVERABLEFindings briefPHASE 2 · 2–3 WEEKSAssessReadiness scorecardGovernance and policy gapsCloud vs. local model fitDELIVERABLEReadiness reportPHASE 3 · 3–4 WEEKSDesignHybrid reference architectureIdentity-centric access modelPilot selection and success metricsDELIVERABLEArchitecture and roadmapPHASE 4 · ONGOINGEnablePilot delivery with the client teamPolicy, training, and metering in placeQuarterly advisory check-insDELIVERABLEWorking pilot and playbookgo / no-gogo / no-gogo / no-goFixed fee for phases 1–3. Deliverables areclient-owned; the engagement can end at any gate.Typical time to a working, governed pilot: 8–10 weeks fromkickoff.
Durations are typical rather than contractual; the sequence is not.

Selected work

An enterprise AI platform replaced on a compressed timeline, inside the existing access model.

A publicly traded software company switched AI platforms quickly, with the new one inside its existing identity model: no second access model and no retrofit after go-live.
Read the case study

Start with an assessment, not a tool selection.

Any practice area can start with a fixed-fee assessment of the environment, the gaps and the order to close them, independent of any vendor. For AI, start with the AI Readiness Assessment.