---
title: Services — Matter + Energy | From Assessment to Operations
description: Six service lines, from maturity assessment through managed operations, across Technology Value Management and AI Adoption & Productivity.
image: https://www.matternenergy.com/hubfs/matter-energy/og-default.jpg
---

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  [Our Approach](https://www.matternenergy.com/services) [Maturity Assessment](https://www.matternenergy.com/services/maturity-assessment) [Proof of Value](https://www.matternenergy.com/services/proof-of-value) [Integration & Data Architecture](https://www.matternenergy.com/services/integration-data-architecture) [Retained Operations](https://www.matternenergy.com/services/retained-operations)
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[Overview](https://www.matternenergy.com/solutions) [Technology Value Management](https://www.matternenergy.com/it-financial-management) [AI Adoption & Productivity](https://www.matternenergy.com/solutions/ai-adoption-productivity)

Services ▾

[Our Approach](https://www.matternenergy.com/services) [Maturity Assessment](https://www.matternenergy.com/services/maturity-assessment) [Proof of Value](https://www.matternenergy.com/services/proof-of-value) [Integration & Data Architecture](https://www.matternenergy.com/services/integration-data-architecture) [Retained Operations](https://www.matternenergy.com/services/retained-operations)

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[Home](https://www.matternenergy.com/) / Services

How We Work

# From first assessment to *sustained operation.*

 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.

[Explore Services](https://www.matternenergy.com/services#services) [Schedule a Discovery Call](https://www.matternenergy.com/discovery)

The Service Lifecycle

01

Maturity Assessment

Where you are today

02

Strategy & Roadmap

Where you need to go and how

03

Proof of Value

Prove it, then build it

04

Integration & Data Architecture

The layer that makes it all work

05

Enablement & Capability Transfer

Build internal capability

06

Retained Operations

Operate and optimize over time

Each service applies across both offerings — Technology Value Management and AI Adoption & Productivity. Most deployments span multiple stages.

Maturity Assessment Sets the Baseline Roadmaps Tied to Measurable Outcomes Proof of Value Before Full Commitment Integration Built on Your Real Data Knowledge Transfer Built In Checkpoints Agreed in the SOW Ongoing Support When Needed Maturity Assessment Sets the Baseline Roadmaps Tied to Measurable Outcomes Proof of Value Before Full Commitment Integration Built on Your Real Data Knowledge Transfer Built In Checkpoints Agreed in the SOW Ongoing Support When Needed

The Model

## Services designed for the full journey — not just the easy part.

 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 offerings — [Technology Value Management](https://www.matternenergy.com/it-financial-management) and [AI Adoption & Productivity](https://www.matternenergy.com/solutions/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 Value Management

ITFM, FinOps, cost transparency, planning and forecasting, and value realization.

[Explore the solution](https://www.matternenergy.com/it-financial-management)

Solution Area 02

AI Adoption & Productivity

Agentic operations, AI governance and risk, SDLC acceleration, and productivity measurement.

[Explore the solution](https://www.matternenergy.com/solutions/ai-adoption-productivity)

Service Lines

## Six service lines. One coherent delivery model.

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.

01

Maturity Assessment

## Know exactly *where you stand* before you decide where to go.

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 Value Management](https://www.matternenergy.com/it-financial-management) [AI Adoption & Productivity](https://www.matternenergy.com/solutions/ai-adoption-productivity)

What We Do

We evaluate your current state across four dimensions: data quality and availability, process maturity, technology capability, and organizational readiness. For Technology Value 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.

02

Strategy & Roadmap

## A roadmap built on your constraints — *not a template.*

We take the findings from the [maturity assessment](https://www.matternenergy.com/services/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 Value Management](https://www.matternenergy.com/it-financial-management) [AI Adoption & Productivity](https://www.matternenergy.com/solutions/ai-adoption-productivity)

What 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.

03

Proof of Value

## Prove the value. *Then build at scale.*

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 Value Management](https://www.matternenergy.com/it-financial-management) [AI Adoption & Productivity](https://www.matternenergy.com/solutions/ai-adoption-productivity)

What 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.

04

Integration & Data Architecture

## The technical layer that makes *every other service work.*

Data pipeline design, source system connections, API configuration, and the [integration architecture](https://www.matternenergy.com/services/integration-data-architecture) that keeps platforms running with accurate, timely, governed data across both offerings.

Applies to

[Technology Value Management](https://www.matternenergy.com/it-financial-management)[AI Adoption & Productivity](https://www.matternenergy.com/solutions/ai-adoption-productivity)

What We Do

We design and implement the data infrastructure that powers your ITFM or AI platform in production. For Technology Value 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.

05

Enablement & Capability Transfer

## Build the internal capability to *own the solution.*

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 Value Management](https://www.matternenergy.com/it-financial-management) [AI Adoption & Productivity](https://www.matternenergy.com/solutions/ai-adoption-productivity)

What 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.

06

Retained Operations

## We operate it. *You act on it.*

For organizations that want a long-term operational partner, our [Retained Operations](https://www.matternenergy.com/services/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 Value Management](https://www.matternenergy.com/it-financial-management) [AI Adoption & Productivity](https://www.matternenergy.com/solutions/ai-adoption-productivity)

What We Do

We provide ongoing management of your Technology Value 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.

How We Work

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

Every service line runs 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. Regular progress reviews and measurable milestones are agreed in the SOW. 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, documented value and ROI assessments at agreed checkpoints
- Compliance alignment for regulated industries and federal programs

Delivery Model

## How we structure our work.

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.

Model 01

### Defined-Scope Deployment

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.

Maturity Assessment Strategy & Roadmap Pilot

Model 02

### Phased Delivery Program

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.

Assessment → Roadmap → Implementation Full lifecycle

Model 03

### Retained Operations

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.

Retained Operations Ongoing optimization Expert access

Get Started

## Ready to begin? *Start with a conversation.*

Most engagements start with a 30-minute Discovery Call or a Lab Session. See what happens in each, who should attend and what you leave with.

[See how to get started](https://www.matternenergy.com/solutioning-as-a-service)

Go Deeper

The Solutioning-as-a-Service framework — end to end.

Seven-stage delivery methodology with defined milestones, reference architectures, and measurable success criteria at every phase.

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