Mozart Works
    How we work

    Services-as-software,
    delivered the way it actually works.

    The pitch is three lines. Services-as-software is here. Your customers are going to demand more of it. You can build it, partner with us, or lose. Below is exactly what "partner with us" means.

    01 — The unique core

    A listening layer for every channel where work actually happens.

    Most of the knowledge in your customers' businesses doesn't live in the software. It lives in conversations, emails, and voice notes the software has never watched. We plug into those channels, extract structured events against your vertical's ontology, capture the reasoning behind every operator override, and join outcomes back to the events that produced them.

    Inputs
    Meetings
    Fireflies, Granola, Otter, Zoom, Read.ai
    Email
    Gmail, Outlook
    Messaging
    SMS / iMessage via Twilio, Slack, Teams
    Voice
    Inbound calls, in-field voice notes
    Extraction pipeline
    • → Read against your vertical ontology
    • → Extract structured events
    • → Capture reasoning on every override
    • → Scrub PII before tenant exit
    • → Version the consent record
    • → Join outcomes back when they arrive
    Routed signal
    Action items
    To the operator's task system
    Risk signals
    To the leadership at-risk dashboard
    Product feedback
    To the PM backlog with attribution
    Outcome signal
    Back to the pipeline as training data
    02 — The visible work

    An agent catalog that consumes the signal and does the work.

    Agents are the part the vendor and the operators see on day one. Underneath, every one of them runs on the same extraction pipeline and event store — which is why an agent that knows the account's full history performs at the level of a senior operator instead of a clever demo.

    Chief of Staff
    Prep-and-followup coworker for operators carrying client portfolios. The one we run on ourselves.
    Dispatcher & Triage
    Real-time job routing from customer descriptions, with reasoning capture on every override.
    Client Intake
    Relational front-door agent that structures the first few minutes of a new customer relationship.
    Accountability Loop
    Closes commitments across channels and surfaces overdue items before they become problems.
    Briefing Engine
    Sixty-second prep for any meeting-driven role, drawn from history across every channel.
    Eval & Signal SDK
    Your engineering team ships their own agents on the same runtime, with our eval layer underneath.
    03 — The breadth play

    Embedded services, coordinated — not built.

    When your customers ask for outcomes, they're rarely asking for one thing. A plumbing shop wants better dispatching and invoicing and payment collection and reputation. A nonprofit ED wants donor outreach and grant support and board reporting.

    Best-of-breed embedded infrastructure already exists for every one of those — white-label, dev-first, and impossible to integrate eight at a time on your own. We do that integration work once, maintain it across every deployment, and deliver the coordinated suite as a single engagement. Mozart is the brain. The infrastructure underneath is the hands. The combination is what your customers actually buy.

    What ships in the suite
    Embedded accounting
    Books, reconciliations, reporting
    Embedded payments
    Processing, payouts, dunning
    Marketing automation
    Campaigns, journeys, segmentation
    Procurement
    Vendor management, purchase orders
    And more
    Whatever the vertical's customers need next
    Coordinated by Mozart. The suite is smarter than the sum of its parts because every service runs on the same listening layer underneath.
    04 — The landing motion

    Six weeks from kickoff to production.

    We embed forward-deployed for six weeks, ship working infrastructure against your real conversation sources, and leave you with metrics and a board-ready case study. Transparent fixed-price onboarding plus a recurring platform fee — no consulting-shop ambiguity, no months-long discovery.

    Week 1
    Stand up extraction
    We connect to your conversation sources — meetings, email, messaging, voice — and start emitting structured events against your vertical's ontology.
    Weeks 2–3
    Deploy your first agent
    Chief of Staff or the vertical-equivalent goes live for your operators. Tasks route to your task system, risk signals route to leadership, product feedback routes to your PM team.
    Weeks 4–5
    Tune and add agents
    We iterate on prompts, eval failure modes, and turn on additional agents from the catalog as the data warrants.
    Week 6
    Production handoff
    Working production infrastructure, real metrics on operator productivity, and a board-ready case study. You own the narrative.
    05 — Honest tradeoffs

    Why building this in-house usually fails.

    Any vertical SaaS vendor with a decent engineering team could build this themselves. Most don't, and the reasons are structural — not talent, not money. If you've already tried and stalled, you'll recognize all four.

    Staffed wrong
    Agent work needs engineers who specifically want prompt iteration, eval-driven loops, and failure-mode analysis. That talent clusters at AI labs and early-stage AI startups — not on a vertical SaaS roadmap team.
    Prioritized wrong
    Agent work competes with the existing roadmap and always loses, because the existing roadmap has known revenue and the agent work doesn't yet. It ships in fits and starts.
    Managed wrong
    Agent work is research, not feature shipping. Weekly eval reviews, willingness to throw out work that doesn't perform, comfort with non-determinism. Hard to retrofit onto a feature-shipping PM org.
    No failure-mode catalog
    Hallucinations, prompt injection, awkward refusals, timezone bugs, entity-resolution collisions — we've seen each of these dozens of times. Your first team meets each one fresh and spends weeks on it.
    Receipts

    We've operated services-as-software ourselves.

    Mozart has been running this playbook on our own nonprofit business for years. It's where the listening layer was first hardened in production, and it's why we know the failure modes before your team encounters them for the first time.

    $53M+
    Driven through innovative giving programs
    250M+
    Donor profiles for enrichment

    Build, partner, or lose. Pick one.

    If you're a vertical SaaS leader with customers asking for outcomes and an engineering team already at capacity, partner is the cheapest answer.