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CK/SYSTEMS
Consulting engagements

Work with me if you need one workflow to become operational, not more AI noise.

This page is for serious consulting buyers who want to understand fit, pricing bands, and how the work is structured before getting on a call. I work best on practical workflow, automation, and AI-system problems where the bottleneck is already visible and the business needs a clean implementation path.

Consulting availability Taking 2 consulting projects in Q2 2026 Best fit: workflow audits, AI automation systems, and governed agent builds.

How engagements work

The default path is simple: discovery, then a paid audit or a fixed-scope build, then broader implementation only if the first workflow justifies it.

01

Discovery call

Free
20-30 min

Clarify the workflow, current bottleneck, urgency, and whether this is even the right problem to solve first.

02

Governed workflow audit

AUD 350-900
60-90 min

A focused review of your workflow, architecture, failure modes, tool choices, and where approvals or validation need to sit.

03

Governed workflow starter build

AUD 2,500-7,500
1-3 weeks

One bounded workflow moved from brittle to operational with clear scope, delivery milestones, and handoff notes.

04

Implementation sprint or retainer

AUD 5,000-15,000+ or AUD 1,500-5,000+/month
Multi-week

Deeper implementation, hardening, and iteration once the first workflow proves valuable enough to expand.

What the offer actually is

The clearest client offer right now is a governed workflow build. That means one workflow, one bounded scope, and a clear line between what the system can do automatically, what stays assisted, and what still requires human approval.

It is the same pattern I am using on my own stack with Portarium and OpenClaw: useful automation inside explicit boundaries, not a vague promise of full autonomy.

Typical deliverables

  • workflow mapping and risk review
  • policy and approval-boundary design
  • validation and audit requirements
  • implementation or hardening plan
  • handoff notes for internal operators
Review the case study

Good fit

  • + Founders and operators who already know where the bottleneck is.
  • + Small teams that need one practical workflow shipped well, not a platform rebuild.
  • + Buyers who care about clarity, delivery, and engineering rigor more than AI theater.
  • + Teams comfortable with phased work: audit first, then scoped build, then broader rollout.

Not a fit

  • - Anyone looking for fully autonomous business operation with no human ownership.
  • - Large enterprise transformation programs, procurement-heavy RFP work, or long unpaid scoping cycles.
  • - Teams that want a generic "AI strategy deck" without implementation follow-through.
  • - Buyers who need 24/7 agency-style support across multiple parallel workstreams immediately.

Problems I usually help with

The common pattern is not "teach us AI." It is "this workflow is still too brittle, too manual, or too poorly scoped to trust."

An AI workflow pilot exists, but it breaks when real data or real operators hit it.
A manual intake, routing, approval, or admin step keeps slowing the team down.
The team needs one engineer who can design the workflow and also implement the underlying system.
There is pressure to "use AI", but no clear path from experiment to reliable operation.

FAQ

Do you publish exact hourly rates?

No. The page gives realistic bands because workflow consulting is scoped around outcomes, not raw hours. If the problem is clear, I can usually suggest the right engagement shape quickly.

What happens after the discovery call?

If there is a fit, I will recommend either a paid audit, a fixed-scope starter build, or a direct implementation sprint. If there is not a fit, I will say that plainly.

Do you work with tutoring clients here too?

No. This page is for consulting buyers. Tutoring stays available separately so the consulting path can stay focused.

What kind of technical work do you actually deliver?

Workflow design, integrations, validation layers, approval flows, observability, production hardening, and the surrounding product or backend work needed to make the workflow usable.

If the problem is concrete, the next step is simple.

Send the workflow, the bottleneck, and what has already been tried. I will tell you whether a discovery call, an audit, or a starter build is the right next move.

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