Slip 18

Forward-deployed AI engineering

AI built around your business.

Reduce repetitive admin, connect scattered information, and give your team clearer next actions. We design and build AI systems around the workflows and tools your business already uses.

Discuss your workflow Explore what we build

Start with one workflow. Build what proves useful.

From workflow to working system Practical by design
01
Operational signalReports, feedback, requests, and team knowledge
Slip 18AI workflow
02Clear priorities
03Faster action
04Better visibility

The operational reality

Good teams spend too much time holding fragmented work together.

Running a business takes constant coordination. Yet critical information still lives across inboxes, spreadsheets, shared drives, chat threads, and disconnected systems.

The result is familiar: manual reporting, repetitive admin, scattered knowledge, slow handoffs, and leaders without a clear view of what needs attention.

Slip 18 finds the workflow friction first—then applies AI where it can create useful, measurable leverage.

What Slip 18 builds

Useful systems, not AI theater.

We design around the way your teams actually work, connecting information, decisions, and action without forcing another disconnected tool into the stack.

01

AI agents

Role-specific assistants that gather context, synthesize information, and move defined work forward.

02

Workflow automations

Reliable handoffs that reduce repetitive admin and keep routine processes moving.

03

Internal operating systems

Shared structures for priorities, knowledge, accountability, and AI-enabled execution.

04

Reporting & intelligence

Decision-ready views that turn scattered operating signals into clear next actions.

Selected engineering work

See how the work fits together.

Two concrete examples of workflow design, bounded automation, and human review. These are internal tooling and portfolio work, not client deployment or ROI claims.

Discuss a similar workflow
01

Internal tooling · accountable handoffs

Product Bootstrap

Helps turn an approved request into work that can be checked before it is released. Each handoff records what was approved, where the work started, and what changed.

  1. Approved request
  2. Local implementation
  3. Review evidence

For an operations team, this demonstrates how requests can move through execution and review while keeping ownership and approval visible. Releasing the work remains a separate decision; this is not evidence of unattended production reliability.

02

Portfolio prototype · synthetic data

WebinarOS

Brings event preparation, deadlines, session readiness, and follow-up notes into one weekly operations view. The demonstration uses sample data and simulated session controls.

  1. Preparation & deadlines
  2. Simulated session
  3. Follow-up & next plan

For an operations team, this demonstrates how a shared view can make missing preparation and follow-up easier to spot across handoffs. Optional AI summaries use recorded evidence and human review. The prototype does not control a webinar platform or confirm a live event is healthy.

How we work

Prove the value. Build the capability. Keep improving.

  1. 1

    Find the leverage

    Workflow Diagnostic

    We map a real workflow, identify friction and constraints, and define the best first AI opportunity.

  2. 2

    Test it in practice

    Build and evaluate

    Where the diagnostic supports proceeding, we scope a separate implementation and test it with the people who will use it.

  3. 3

    Operate and extend

    Measure and improve

    We evaluate outcomes and reliability, then identify what to improve. Ongoing support is scoped separately.

Who we help

For teams with real operational complexity.

  • Operations teams
  • IT and AI leads
  • Service businesses
  • Growing organizations
  • Implementation partners

Why Slip 18

Transformation grounded in operations.

AI only matters when it improves how work gets done. We bring strategy and implementation together so useful ideas make it into daily operations.

Workflow-first

We learn how your team works before deciding whether and where AI belongs.

Practical implementation

Focused on systems teams can adopt, operate, and improve.

Code-capable systems

Built beyond no-code prototypes when reliability and integration require it.

Human-in-the-loop AI

Clear roles for judgment, review, and accountability.

Built around real workflows

Your work is the starting point—not a generic AI product.

Founder-led delivery

Work directly with Cody McKeon.

Cody brings experience managing digital products and implementing technology inside established organizations. That background informs how he approaches operational constraints, works with teams, and takes ideas into practical implementation.

At Slip 18, Cody combines that professional experience with hands-on AI workflow development, including the internal tooling and portfolio prototypes above. His professional background and employer work are distinct from Slip 18 client engagements; they are not presented as Slip 18 customer results.

Explore Cody’s professional work and project background in his founder portfolio.

Explore Cody’s portfolio on Muse

AI Workflow Diagnostic

Start with one workflow.

We map one workflow, identify bottlenecks, assess integration and reliability risks, and outline a measurable path forward. Production development is scoped separately.

Email about your workflow

hello@slip18.com

  1. Tell us which process is slow, who uses it, and which tools are involved. Leave out confidential data.
  2. We discuss fit, constraints, and what a useful outcome would look like.
  3. If there is a fit, we agree on diagnostic scope and fees before work begins.
In at least 20 characters, describe the process, tools involved, and what you would like to improve.

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