How We Work
Our six service lines follow a deliberate sequence — from diagnosing where you are, to designing the path forward, to building the integration layer that makes everything run, to deploying the solution, to enabling your team to own it, to operating it on your behalf if needed. You can enter at any stage. Most organizations start at the beginning.
The Service Lifecycle
Maturity Assessment
Where you are today
Strategy & Roadmap
Where you need to go and how
Proof of Value
Prove it, then build it
Integration & Data Architecture
The layer that makes it all work
Enablement & Capability Transfer
Build internal capability
Retained Operations
Operate and optimize over time
Each service applies across both solution areas — Technology Financial Management and AI Adoption & Productivity. Most deployments span multiple stages.
The Model
Most technology implementations end at delivery. A document is submitted, a platform is configured, a project is closed. What happens after — whether it works, whether it scales, whether it compounds in value — is someone else's problem.
We structured our services differently. Each of the six service lines represents a distinct phase in the maturity journey, and we maintain accountability across all of them. Organizations that need a defined-scope deployment can have that. Those that want a long-term activation partner from diagnosis through ongoing operation can have that too.
Both solution areas — Technology Financial Management and AI Adoption & Productivity — are available across all six service lines. The entry point and scope depend on where you are and what you need.
Solution Area 01
Technology Financial Management
ITFM, FinOps, cost transparency, planning and forecasting, and value realization — powered by Apptio.
Explore the solutionSolution Area 02
AI Adoption & Productivity
Agentic operations, AI governance and risk, SDLC acceleration, and productivity measurement — powered by IBM watsonx.
Explore the solutionService Lines
Each service line has a defined scope, a specific set of deliverables, and a clear answer to the question: what do you leave with? You can activate a single service or the full sequence — most organizations find the greatest value in treating them as a progression.
Maturity Assessment
A structured diagnostic that tells you where your organization sits on the maturity curve — and what it would take, specifically, to move forward. Not a generic benchmark. An assessment calibrated to your environment, your data, and your team's actual capabilities.
Applies to
Technology Financial Management AI Adoption & ProductivityWhat We Do
We evaluate your current state across four dimensions: data quality and availability, process maturity, technology capability, and organizational readiness. For Technology Financial Management deployments, we assess your cost model, allocation methodology, reporting cadence, and stakeholder alignment. For AI Adoption deployments, we assess your AI use case inventory, data governance posture, integration readiness, and governance framework. The output is a maturity score, a gap analysis, and a prioritized set of recommendations — not a framework imposed from outside, but an honest read of where you are.
What You Leave With
Current-state maturity score
Scored across four dimensions with domain-specific benchmarks where available.
Gap analysis
Specific gaps between your current state and target state, ranked by impact and effort.
Prioritized recommendations
A set of concrete, sequenced recommendations — not a wishlist, a plan.
Readiness brief
An executive-ready summary formatted for leadership and oversight audiences.
When to Start Here
You're about to activate a significant technology investment and want to make sure you're solving the right problem. Previous initiatives have stalled and you need an objective read on why. Leadership has asked you to justify current IT spend or AI investment, and you don't yet have the data to do it confidently.
Strategy & Roadmap
We take the findings from the maturity assessment — or your own existing analysis — and translate them into a sequenced, budgeted, stakeholder-aligned roadmap. Every recommendation is scoped against your actual resources, timeline, and risk tolerance.
Applies to
Technology Financial Management AI Adoption & ProductivityWhat We Do
We facilitate structured strategy sessions with your leadership and technical teams to align on goals, constraints, and sequencing. We develop use case prioritization frameworks scored against feasibility, time-to-value, and strategic alignment. We produce a phased roadmap with clear milestones, resource requirements, and decision gates — and a business case that gives your leadership the evidence they need to fund and sustain the solution.
What You Leave With
Phased implementation roadmap
Sequenced phases with milestones, dependencies, and resourcing requirements.
Use case prioritization matrix
Each opportunity scored by value, feasibility, and strategic fit — with a recommended sequencing rationale.
Business case
Investment justification with expected outcomes, timelines, and measurement criteria.
Reference architecture options
Technical architecture candidates mapped to your existing stack and governance requirements.
When to Start Here
You know roughly what you want to accomplish but need a structured, defensible plan to bring to leadership. Internal alignment challenges need to be surfaced and resolved before the build begins. You're preparing a budget request or procurement justification and need supporting documentation that will hold up under scrutiny.
Proof of Value
We don't move to full deployment until the pilot has answered the critical question: does this work in your environment, with your data, against your success criteria? Pilots are designed to be decisive — not indefinite proof-of-concepts that never resolve.
Applies to
Technology Financial Management AI Adoption & ProductivityWhat We Do
We design and execute a scoped pilot that addresses the highest-priority use case identified in the strategy phase. The pilot has defined success criteria, a fixed timeline, and a clear go/no-go decision gate. When the pilot validates the approach, we move to full deployment — configuring the platform, integrating with your existing systems, loading and validating your data, and hardening the solution to production standards. Security, compliance controls, and audit trail requirements are built in throughout, not addressed post-deployment.
What You Leave With
Validated pilot results
Go/no-go assessment against pre-agreed success criteria, with full documentation of findings.
Production-ready deployment
Fully integrated, security-validated, and performance-tested solution — configured to your environment.
Integration documentation
Data flows, API integrations, and system connections documented for ongoing operations.
Acceptance test results
Formal acceptance testing against the original success criteria defined at engagement start.
When to Start Here
You have a clear use case, a validated business case, and organizational readiness to begin building. Or you've completed the strategy phase and are ready to deploy. For organizations with a specific, well-defined scope, we can also begin at this stage when the problem is already clearly defined.
Integration & Data Architecture
Data pipeline design, source system connections, API configuration, and the integration architecture that keeps platforms running with accurate, timely, governed data across both practice areas.
Applies to
Technology Financial ManagementAI Adoption & ProductivityWhat We Do
We design and implement the data infrastructure that powers your ITFM or AI platform in production. For Technology Financial Management, this means connecting your general ledger, HR systems, CMDB, and cloud billing data into a coherent cost model architecture with documented allocation logic and reconciliation controls Finance can audit. For AI Adoption deployments, this means designing the data architecture that feeds your agentic workflows and governance platform: source connections, data quality controls, access governance, and the pipeline reliability production AI systems require. We document every integration, build for maintainability, and hand off architecture your team can operate and extend independently.
What You Leave With
Integration architecture document
Full documentation of data flows, source systems, transformation logic, and pipeline design.
Configured data pipelines
Production-ready pipelines with monitoring, alerting, and error-handling built in.
API and connector inventory
Documented catalog of all system connections with authentication, refresh cadence, and owner assignment.
Handoff and runbook
Operational documentation enabling your team to maintain, troubleshoot, and extend the architecture independently.
When to Start Here
Your platform is deployed but not producing reliable outputs because the data feeding it is incomplete, inconsistent, or disconnected. You are planning a new deployment and want the integration architecture designed correctly from the start. Or a previous integration was built without documentation and you are inheriting a system nobody fully understands.
Enablement & Capability Transfer
A solution that requires external support to operate is a liability, not an asset. Enablement is the phase where we transfer knowledge, build internal capability, and hand over ownership — so your team can sustain, extend, and evolve the solution independently.
Applies to
Technology Financial Management AI Adoption & ProductivityWhat We Do
We deliver role-specific training programs for each audience — platform administrators, power users, analysts, and executive stakeholders all have different needs and different learning objectives. Training is designed around your actual configuration and your real data, not generic product walkthroughs. We also build internal enablement resources — playbooks, SOPs, runbooks, and quick-reference guides — calibrated to your team's skill level and operational context. Change management support is available for organizations navigating significant workflow or role changes alongside the technology deployment.
What You Leave With
Role-based training programs
Structured training for administrators, analysts, and executive stakeholders — built on your configuration.
Operational playbooks & SOPs
Step-by-step operating guides for recurring processes, maintenance tasks, and exception handling.
Self-service enablement resources
Quick-reference guides, FAQs, and decision trees for your team's most common use cases.
Change management support
Stakeholder engagement, communication planning, and adoption tracking for significant workflow changes.
When to Start Here
You've completed deployment and are ready to transition from project mode to operational mode. Your team has the platform but hasn't built the internal capability to use it at full depth. Adoption gaps exist — the solution is available but not being used consistently across the organization.
Retained Operations
For organizations that want a long-term operational partner, our Retained Operations offering provides ongoing platform management, performance monitoring, continuous optimization, and expert-on-demand support — so the solution compounds in value over time rather than degrading after go-live.
Applies to
Technology Financial Management AI Adoption & ProductivityWhat We Do
We provide ongoing management of your Technology Financial Management or AI Adoption platform — including data pipeline monitoring, model maintenance, configuration updates, performance reporting, and optimization cycles. For TSI deployments, this includes maintaining the cost model as your environment changes, updating allocations, managing the planning cycle calendar, and producing the reporting outputs your stakeholders expect on cadence. For AI deployments, this includes model performance monitoring, governance compliance checks, agent workflow maintenance, and continuous optimization against productivity baselines. Retainers are structured with defined SLAs and a named delivery team.
What You Leave With
Ongoing platform management
Named delivery team managing your platform operations against defined SLAs and performance standards.
Monthly performance reporting
Regular reporting on platform health, usage, anomalies, and optimization opportunities.
Continuous optimization cycles
Quarterly review and optimization of configurations, models, and processes against evolving needs.
Expert-on-demand access
Pooled specialist access for ad-hoc requests, model changes, and emerging use cases.
When to Start Here
You've completed deployment and enablement but don't have the internal headcount or specialist depth to maintain the platform at the level the organization needs. You want the value of a full-time specialist without the cost of hiring one. Or your environment changes frequently enough — new cost structures, new AI use cases, new regulatory requirements — that ongoing expert management produces better outcomes than a periodic update cycle.
Delivery Model
We offer three primary structures depending on where you are and what you need. All work is outcome-scoped — we define what success looks like before deployment begins, and we measure against it throughout.
A defined deliverable, a defined timeline, and a defined outcome measure. Best for organizations with a specific, well-scoped need — an assessment, a roadmap, a pilot — where the scope is clear enough to define and schedule at the start.
A multi-phase deployment that spans the full service lifecycle — from assessment through implementation and enablement. Each phase has its own defined deliverables and decision gates. Programs are structured to allow natural off-ramps if scope or priorities change.
An ongoing retainer providing Retained Operations, expert-on-demand access, and continuous optimization. Best for organizations that want a long-term operational partner with deep knowledge of their environment and consistent delivery accountability.
Get Started
A 30-minute Discovery Call is enough time to understand where you are, clarify what you're trying to accomplish, and give you a clear recommendation on where to begin.