Our Offerings

Two disciplines.
One operating model.

AI Adoption and Technology Financial Management aren’t adjacent services — they’re the same problem from two angles. The methodology that connects them is what makes the outcomes stick.

Powered by Agile execution, TBM discipline, and AI frameworks.

Both offerings run on the same three-discipline operating model. This is what separates implementation that produces a working outcome from implementation that produces a final report.

Discipline 01

Agile Delivery

Sprint-based execution structured around working outcomes, not deliverable milestones. Every program produces something measurable every two to three weeks. No six-month discovery phases. No dependency traps at go-live.

  • Iterative delivery cycles with defined acceptance criteria
  • Cross-functional teams embedded in your environment
  • Retrospectives and course corrections built into cadence
  • Handoff designed for internal ownership from sprint one

Discipline 02

TBM Standards

Technology Business Management taxonomy and cost modeling that give IT investment a language both technology and finance leadership recognize. Not a custom framework invented for each client — the established standard, applied with implementation depth.

  • TBM-aligned cost taxonomy across the full IT portfolio
  • IT cost mapped to business towers, services, and outcomes
  • Methodology documentation that withstands audit scrutiny
  • Run / Grow / Transform allocation for strategic conversations

Discipline 03

AI Frameworks

Structured AI adoption frameworks covering opportunity assessment, agentic workflow design, governance architecture, and productivity measurement. The operating model that moves intelligent automation from proof-of-concept to enterprise-wide deployment.

  • AI opportunity scoring tied to workflow complexity and ROI potential
  • Governance built in parallel with deployment, not after
  • Productivity baselines before first sprint, ROI reports at 30 and 90 days
  • Compliance alignment for regulated industries and federal programs

Choose the entry point that matches where your organization has the most urgent need. Both connect to the same outcome.

01 — AI Adoption & Intelligent Automation

From AI experimentation to enterprise-wide intelligent automation.

Most programs have AI running somewhere. Few can show what it’s returning. We deploy intelligent automation using Agile delivery cycles and structured AI frameworks that move from pilot to production with defined productivity baselines, governance controls, and the financial accountability that makes every AI investment defensible.

CIO / CTO CFO / Finance IT Director Program Manager Federal Agency CIO
01

Agentic workflow design and deployment — Autonomous AI agents designed for your operating environment, not a sandbox. Role-based adoption programs and enablement built in from sprint one.

02

AI governance and risk frameworks — Accountability controls, model monitoring, audit trails, and regulatory alignment built into architecture from day one. Not layered on afterward.

03

Productivity measurement and ROI confirmation — Baselines established before deployment, 30- and 90-day productivity reports produced on schedule, ROI documentation structured for board and finance review.

04

SDLC acceleration — AI-assisted software delivery across the full development lifecycle. Faster time-to-production, measurable quality improvements, and team capability uplift that persists after engagement close.

02 — Technology Financial Management

Full-spectrum visibility into what technology costs — and what it delivers.

Technology budgets are complex, fragmented, and often invisible to the people who need to act on them. We apply TBM standards and Agile program management to connect every dollar of IT investment to a business outcome — giving finance and technology leadership a single model they can both trust and act on.

CIO / CFO VP Finance IT Finance Director FinOps Lead IT Strategy Lead
01

Cost visibility and taxonomy — TBM-aligned cost model mapping every IT investment to business towers, services, and cost centers your stakeholders recognize. Ad-hoc cost questions answered in minutes, not weeks.

02

Planning and forecasting — A live planning model that updates when the business changes. IT planning cycle time reduced by 75% in as little as four weeks. What-if analysis without the spreadsheet chaos.

03

Value realization — Run / Grow / Transform allocation for strategic portfolio conversations. Every major initiative tracked against its business case. Promised returns tracked to delivery.

04

Cloud cost optimization and FinOps — Cloud spending brought into full financial context. Waste identified, rightsizing modeled, and optimization roadmap produced with finance-ready documentation.

The programs that deliver durable outcomes treat these as one problem.

AI programs that lack financial visibility end up with governance gaps and ROI claims nobody believes. Technology financial management programs without AI adoption frameworks stall in spreadsheet maintenance. The organizations that close the execution gap run both disciplines together — because the data, the governance, and the measurement model are shared.

Most engagements start with one offering. They deepen into the second because the connection becomes obvious once the first is working.

Shared data model

AI cost tracking requires the same cost taxonomy as TFM. When both run on TBM-aligned architecture, AI investment shows up in the IT portfolio alongside everything else — with the same allocation methodology and the same audit trail.

Unified governance posture

AI governance and IT financial governance answer to the same oversight bodies. Building them in parallel — rather than sequentially — means controls are aligned from the start, not reconciled after the fact.

ROI that finance will accept

AI productivity returns are credible when they’re expressed in the same cost and value framework the business uses for every other technology investment. TFM provides that framework. AI delivers the numbers that go into it.

The buyers who get the most from these offerings.

CIO / CTO

Accountable for both AI delivery and IT financial performance

The CIO sits at the intersection of both offerings. AI adoption without financial visibility creates undefendable investment cases. Financial management without AI adoption frameworks means cost reporting that doesn’t connect to the transformation agenda. We help CIOs run both in a way that reinforces each other.

AI Governance IT Portfolio Visibility Value Realization

CFO / Finance Leadership

Needs ROI documentation that holds up to scrutiny

Finance leadership is increasingly in the room for AI investment decisions — and they arrive skeptical. We give CFOs and VPs of Finance a cost model they can trust, ROI frameworks for AI they can defend, and the methodology documentation required for board-level and audit scrutiny.

TBM Cost Model AI ROI Framework Budget Governance

IT Strategy / FinOps Lead

Owns the programs that need to run on both rails simultaneously

Strategy and FinOps leaders are often managing the day-to-day of both cloud cost optimization and emerging AI programs. We give them a single operating model — TBM taxonomy for cost, AI frameworks for automation — so neither program is running on a different methodology from the other.

FinOps Cloud Cost Optimization Agentic Operations

Federal Agency CIO / Program Manager

Operating under fixed budget cycles and non-negotiable compliance

Federal programs don’t have the luxury of iterating on governance post-deployment. We deliver both AI adoption and TFM within federal contracting vehicles — FITARA-aligned cost models, ATO-ready AI governance documentation, and Agile delivery structured for the oversight requirements that come with every federal engagement.

FITARA Alignment ATO Documentation OTA Prototyping

IT Director / VP Engineering

Deploying AI across delivery teams while maintaining financial accountability

Technical leaders deploying AI across software delivery teams need productivity measurement frameworks that connect to the business case — not just anecdotal velocity improvements. We establish the baselines, deploy agentic tooling, and produce the 30- and 90-day reports that make the productivity case credible to finance.

SDLC Acceleration AI Productivity Developer Enablement

Procurement / Contracting Officer

Needs defensible scope, clear methodology, and compliant vehicles

We structure engagements for procurement clarity — defined deliverables, measurable outcomes at each phase, and full methodology documentation. For federal programs, we operate through CSO and OTA vehicles with scope structures designed for the compliance and oversight requirements that govern every award.

CSO / OTA Scope Definition Outcome-Based Delivery

Not sure which offering fits your most urgent problem?

Start with a 30-minute diagnostic conversation. We’ll identify where the highest-value opportunity is — AI adoption, financial management, or both — and tell you what a scoped engagement would look like. A diagnosis, not a pitch.