Standing up an AI-native back office for an early-stage SaaS startup

An early-stage SaaS startup runs core back-office functions on AI tooling instead of back-office headcount.

SNAPSHOT

Who

An early-stage SaaS startup, running lean

Format

Hands-on implementation

Result

Financial, marketing, and sales workflows running on AI tooling with company context and integrations in place.

The challenge

A lean startup needed to run core back-office functions without adding back-office headcount. The goal was an AI-native operation built that way from day one, rather than retrofitted later when scale forced the question.

What we delivered

Upleveled the company's AI tooling to establish persistent company context (skills).
Established system integrations (MCPs) across the core stack.
Built AI-enabled workflows across financials, marketing, and sales.

Outcomes and decisions

The company now operates an AI-native back office: core financial, marketing, and sales workflows run on AI tooling with company context and integrations in place. AI carries the load that would otherwise have required hires.

ENGAGEMENT METHODOLOGY

Clarify

Highlight

Architect

Ready

Track

Start to finish engagement that began with high level objectives (C), identified areas of highest value add (H) prioritized by immediate need, supported enablement with training and solution design (A, R) and following up on success of solution and cost management (T).