Services

Strategic finance, data, and governed AI capability.

Saye works across four areas that build financial clarity and operating discipline. Most engagements begin where the pressure is greatest and expand as the picture becomes clearer. No engagement includes everything at once.

01 · Strategic finance and growth readiness

Finance built for the next stage of growth

We help leadership plan capital and cash, build financial models, and prepare for funding and diligence. The work makes a company more decision-ready and investor-ready.

Reliable accounting, close, and reconciliations sit within this area as the foundation for numbers that hold up. We prepare the financials and the narrative behind them. We are not a broker, and we do not provide investment advice.

  • Financial strategy
  • Forecasting and scenario planning
  • Cash runway and capital planning
  • Funding round preparation
  • Investor and board reporting
  • KPI design and financial models
  • Due diligence readiness
  • Multi-entity planning
  • Accounting and close support
  • Finance infrastructure
  • Management reporting
  • Executive reporting
  • Project economics
  • Revenue analysis
  • Margin analysis
  • Cost visibility
  • Cash visibility
  • Operating metrics
  • Dimensional reporting
  • Scenario analysis

02 · Decision support and operating visibility

Reporting that shows what drives the business

More reports do not always mean better information. We build reporting that answers the questions leadership is actually asking, so decisions rest on a clear view of margin, cost, revenue, and cash.

Every figure reconciles back to its source, so the numbers hold up in the boardroom and under review.

03 · Data and system architecture

Better information without replacing every system

Growing companies accumulate tools, spreadsheets, and disconnected records. We map where information lives, define ownership and business terms, and connect systems so reporting is consistent and traceable.

You keep the systems that work. We make the environment more understandable, reliable, and useful around them, including support when a system genuinely needs to change.

  • Source system mapping
  • Data ownership
  • Entity alignment
  • Business definitions
  • Cross-system reporting
  • Analytical data models
  • Structured analytical databases
  • Evidence and provenance
  • Integration planning
  • System transition support
  • Defined workflow boundaries
  • Human review
  • Approval controls
  • Source-grounded execution
  • Model cost visibility
  • AI spend governance
  • Escalation rules
  • Sensitive data handling
  • Vendor and model flexibility
  • Practical automation

04 · Governed AI integration

AI integration with clear boundaries

We start with the process, not the tool. Once a workflow is well understood, we bring in AI with defined boundaries, human review, approval controls, and visibility into model cost.

Autonomy is not the goal. Automation handles well-scoped work, people stay responsible for consequential decisions, and every step remains traceable to its source.

Ways to work together

Engagements that match the work in front of you

Project

A defined scope with a clear outcome, such as building a model, standing up reporting, or preparing for diligence.

Fractional support

Ongoing monthly help across finance and operations that flexes with your stage and season.

Advisory

On-call guidance when a finance, data, or AI decision needs an experienced second opinion.

Not sure where to start

Tell us where the work is breaking down.

We will help you find the first step that makes the biggest difference.