AI automation that actually ships.

We take one manual workflow, build it into the tools your team already uses, test it on your real data, and hand it over with docs. Fixed price, live in one to six weeks, and yours to keep.

Most AI projects die between the demo and the P&L.

The research agrees on why. Here’s each failure point, and what we do instead.

  • About 95% of generative AI pilots show no measurable P&L impact.

    MIT NANDA, The GenAI Divide, 2025

    We pick one workflow with one metric, and measure it before and after the build.

  • Gartner expects 60% of AI projects without AI-ready data to be abandoned.

    Gartner, February 2025

    The audit checks your data first. If it isn't ready, we fix that or tell you not to build.

  • Over 40% of agentic AI projects will be canceled by 2027, over cost, value, or risk.

    Gartner, June 2025

    A fixed build price, a spend cap on every workflow, and approval gates before anything irreversible.

  • 42% of companies abandoned most of their AI initiatives, up from 17% a year before.

    S&P Global, March 2025

    We build inside the tools your team already uses, so there's no new system to adopt.

  • Over 80% of AI projects fail, twice the rate of other IT. Top cause: the wrong problem.

    RAND, 2024

    We map the work first and only automate what's worth at least three times its build price.

Six workflows that pay back first.

Start with work that’s repetitive, rules-heavy, and already costing hours. Pick one to see how we’d build it.

TriggerForm or inbox
Tool stepEnrich company
AI stepScore fit
Tool stepRoute to owner
AI stepDraft first reply
Human approvalRep approves
Tool stepCRM and Slack

Every inbound lead is scored, routed, and answered with a drafted reply while it's still warm.

The average B2B lead waited 42 hours for a first reply. Harvard Business Review, 2011

Eight layers between the model and your business.

Language models make mistakes. Every agent we ship is built so a mistake gets caught before it costs you anything.

  1. 01
    Untrusted inputEmails, documents, and web pages are treated as data, never as instructions.
    OWASP LLM01
  2. 02
    Scoped accessEach agent gets only the tools and keys its job needs. No raw database writes.
    OWASP LLM06
  3. 03
    Checked outputEvery model response is validated against a schema before anything acts on it.
    OWASP LLM05
  4. 04
    Confidence thresholdWhen the model isn't sure, the case goes to a person's queue instead.
  5. 05
    Human approvalPayments, refunds, account changes, and customer-facing sends wait for a yes.
    A person says yes
  6. 06
    Spend capsDaily limits per workflow, with alerts, so a runaway loop can't run up a bill.
    OWASP LLM10
  7. 07
    Run logsInputs, outputs, tool calls, cost, and timing are recorded for every run.
  8. 08
    EvalsA test set has to pass before launch, and again whenever the model changes.

Rent it by the task, or own it outright.

Per-resolution agents charge $0.99 to $2 a conversation, every month. A workflow built in your accounts is paid for once. Hover a mark to see what it costs.

  • n8nFree self-hosted, or €20+/mo cloud
  • Zapier$20–$69/mo, plus task overages
  • Make$9–$38/mo in credits
  • Lindy$30–$200 per user/mo
  • GumloopFrom $37/mo in credits
  • Relevance AISales-led pricing
  • Copilot Studio$200/mo per 25,000 credits
  • UiPathFrom $25/mo, enterprise quoted
  • Intercom Fin$0.99 per resolution
  • Agentforce$2 per conversation
  • Decagon~$0.99 per conversation, annual
  • Sierra~$150,000+ a year
  • Upwork freelancers$25–$250/hr, evals rarely included
  • LeftClick$10,000–$50,000 fixed, $5,000 minimum
  • Morningside AI~$25,000+, quote only
  • Big consultancies$250–$900/hr
  • Eclipse$2,500–$14,000 fixed, yours to keep

Fixed prices, written down before we start.

Each build starts from the audit’s findings and is quoted once. The bars show how long each takes to go live.

Workflow auditProcess map, data check, cost per run, payback estimate, and a fixed quote.
$7501 weekCredited in full to your build.
Single workflowTwo or three tools and one AI step. Example: lead to enrich, score, CRM, Slack.
$2,500Live in 1 to 2 weeksRuns on about $30 to $80 a month.
Multi-step automationThree to five systems, branching, and a human approval step. Example: ticket triage.
$6,500Live in 3 to 4 weeksRuns on about $60 to $150 a month.
AI agentTools, your knowledge base, an eval suite, and spend caps. Example: support drafts.
$14,000Live in 5 to 6 weeksRuns on about $100 to $400 a month.
Care plan, optional

$500 a month for workflows, $1,000 for agents. Monitoring and alerts, fixes within two business days, a monthly run and cost report, and re-testing when models change.

  • Built in your accounts
  • Tool costs passed through, no markup
  • Eval suite
  • Run logs and alerts
  • Docs, runbook, video walkthroughs
  • 30-day fix window

Written into the contract, not the pitch deck.

Terms on every quoteEclipse

  1. 01
    Fixed price

    The quote is the invoice. Anything new needs a change order you sign before we start it.

  2. 02
    You own it from day one

    Code, prompts, workflows, and accounts are yours. We work on access you can revoke.

  3. 03
    Live on the agreed date

    If we miss it, your care plan is free until it's live. You give us access in week one.

  4. 04
    Thirty days of fixes

    Anything that breaks in the first 30 days after launch is fixed at no charge.

  5. 05
    An honest audit

    If nothing is worth three times its build price in year one, we say so and refund the $750.

Eclipse

Start with one workflow.

Tell us what happens today. We reply within one business day to book the audit.

What the manual version costs

Which workflow?
Loaded cost per hour

$26,000 a year spent doing it by hand.

A single-workflow build is $2,500. If it removes half of that time, it pays back in about 10 weeks.

Start with

We reply within one business day. Nothing is billed until you approve a written quote.

What teams ask before they build.

Which tools do you build on?
Whatever fits your team: n8n, Make, or Zapier for workflows, and plain code with the Claude or OpenAI APIs when a workflow needs more control. Everything runs in your accounts.
Will it hallucinate?
Language models can be wrong, so we design for it. Answers are grounded in your data, outputs are checked against a schema, unsure cases go to a person, and anything irreversible needs approval.
Is our data used to train models?
No. We use API tiers where training is off by default. Providers keep API logs for up to 30 days for abuse checks, unless a zero-retention agreement is in place.
What happens when a model changes?
We re-run the eval suite on the new model before anything switches over. Providers give advance notice before retiring a model, and care plan clients get this handled for them.
What does it cost to run?
Usually tens to a few hundred dollars a month, paid straight to the tools. A classification step costs a fraction of a cent; a multi-step agent run is around 15 cents. The audit estimates it per run.
Do we need the care plan?
No. Every build ships with docs, a runbook, and a 30-day fix window, so your team can run it. The care plan adds monitoring, fixes within two business days, and re-testing when models change.
Can you replace our support team?
We don't sell that. Automation handles the volume and people handle the exceptions. Gartner expects half of the companies that planned big support headcount cuts to abandon those plans by 2027.
What if the audit says don't build?
Then we tell you. If we can't find a workflow worth at least three times its build price in its first year, the $750 comes back to you.

One workflow. Live in weeks. Yours to keep.

Book a workflow audit