C
Cloptim
Book intro call

Process

No surprises. Weekly demos. Production by the date on the proposal.

We've structured every engagement to remove the worst-case agency experience: vague scopes, missed deadlines, and a black-box build you can't extend afterward.

01

Week 1

Discovery sprint

We map your current workflow end-to-end, define success metrics, and build an ROI model. Output: a written analysis you keep regardless of whether we work together.

What you get

  • Workflow audit (current state, pain points, hand-offs)
  • Success metrics definition (what 'good' looks like)
  • ROI model (conservative, base, optimistic scenarios)
  • Fixed-fee proposal for the build phase
02

Week 2

Design

We design the agent's architecture, eval strategy, and integration plan. Locked scope and timeline before any production code.

What you get

  • Agent architecture diagram
  • Tool / integration list with specific APIs
  • Eval suite plan: what we measure, against what data
  • Risk register (what could go wrong, mitigations)
03

Weeks 3–6

Build

Incremental shipping. Every Friday you see a working demo. Every Monday we adjust based on what you learned.

What you get

  • Code in your GitHub org from Day 1
  • Weekly Loom demos + written progress notes
  • Eval dashboard tracking quality over time
  • Integration tests against real production-shaped data
04

Week 7

Eval & rollout

We measure against the success metrics defined in Week 1. Tune. Roll out behind a feature flag. Decide together when to widen the funnel.

What you get

  • Eval report against success metrics
  • Production deploy with monitoring + alerts
  • Runbook for your team
  • Optional ongoing operations retainer

Anti-process

Things we won't do.

Most of what makes us trustworthy is what we say no to. Here's the explicit list.

Sell you something that doesn't ship

If a workflow isn't ready for an agent, we'll tell you. A Notion playbook is sometimes the right answer.

Hide behind 'AI complexity'

Every architecture decision is explained in plain language. You'll know what we built and why.

Lock you into us

Code lives in your GitHub. Vendors are off-the-shelf. You can take any agent in-house with one week of hand-off.

Skip evals

Every agent we ship has an eval suite tracking quality over time. No 'it worked when we demoed it' surprises.

Take the engagement before we know it'll work

If discovery surfaces something that makes the project bad-fit, we say so and refund. We'd rather lose the project than ship something that doesn't.

Pretend AI is the answer to every question

Sometimes the right move is a better-designed form, an automated email, or a Zapier flow. We'll point you there if so.

Have a workflow that should be an agent?

Book a 20-minute call. We'll tell you what's feasible, what's not, and what we'd build.