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Chykalophia
Capability · AI integration

AI integration that earns its place in the stack

We ship the AI that changes a number, built into your real stack with guardrails, evals, and hard cost ceilings, and backed by a 2× conversion guarantee on the experiences it powers.

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  • 2× conversion guarantee
  • Guardrails, evals & cost ceilings standard
  • 300+ engagements

By the numbers

Conversion lift we guarantee
2×
Engagements shipped
300+
Building for revenue
15 yrs
Typical integration timeline
4 to 10 wk
The honest part

Most "AI strategy" is a slide

A flashy demo and a roadmap deck rarely survive contact with production. Here's where AI work usually fails to earn its place.

  • It's a demo, not a system

    The prototype dazzled in the meeting and falls over on real data, real edge cases, and real load. Nothing was wired into your actual stack, so it never makes it to a user.

  • No guardrails, real liability

    It confidently makes things up, leaks context it shouldn't, or does something it was never meant to. With no input and output checks, one bad answer becomes a public problem.

  • You can't tell if it's good

    There's no eval suite, so quality is whatever the last person eyeballed. Swap a model or tweak a prompt and you're guessing whether you just made it better or broke it.

  • The bill is a surprise

    Token spend has no ceiling, no caching, and no routing. A traffic spike or a retry loop turns a useful feature into an invoice nobody approved.

  • It solves a problem you don't have

    AI got bolted onto a workflow because it was impressive, not because it moved a metric. The capability exists and changes nothing you can measure.

  • Only the vendor can run it

    It works as long as the agency is in the room. There's no documentation and no handoff, so your team can't operate, debug, or extend what was built.

The outcome

What you're actually buying

Not a slide deck. AI that does a job your team can measure, built into production with the guardrails to run it safely and the reporting to prove it works.

  • A capability that moves a metric

    Faster support, leads triaged, content drafted, a day-long workflow done in minutes, built into your product and operations against a number you chose.

  • Quality you can trust

    An evaluation harness and guardrails that keep the system honest as models and prompts change, so you ship updates without holding your breath.

  • Spend you can predict

    Hard cost ceilings, caching, and routing, plus a dashboard that shows quality and spend side by side, so you always know what it costs and what it returns.

What we actually do

Inside a ai integration engagement

Use-case selection

We start from the decision or workflow worth automating, not the model: the single job where AI moves cost, speed, conversion, or capacity.

System & integration

Retrieval, agents, and APIs wired into your real stack and your real data, not a demo that breaks the moment it touches production.

Guardrails & safety

Input and output checks, human-in-the-loop where it matters, and clear failure behavior so it holds up when a user does something unexpected.

Evaluation harness

A repeatable eval suite that keeps quality honest as prompts, models, and data change, so "it works" is a measurement, not a vibe.

Cost controls

Hard ceilings, caching, and model routing so spend is predictable and a runaway loop can't quietly drain your budget.

Measurement & handoff

A dashboard for quality and spend, plus documentation so your team owns and operates it without us on retainer.

How it goes

How an AI engagement runs

Four phases, each with a deliverable you can use before the next one starts. No big-reveal theater at the end.

  1. Phase 01

    Find the job

    We pin down the single workflow or decision where AI moves a real metric (cost, speed, conversion, or capacity) and define how we'll know it worked.

    • Use-case shortlist
    • Target metric & baseline
    • Feasibility read
  2. Phase 02

    Build the system

    We wire retrieval, agents, and integrations into your actual stack, handling your data responsibly: a working system on real inputs, not a sandbox demo.

    • Working integration
    • Data & retrieval pipeline
    • Architecture docs
  3. Phase 03

    Add the guardrails

    We add evals, safety checks, human-in-the-loop where it matters, and hard cost ceilings, so it holds up in production and the bill stays predictable.

    • Evaluation harness
    • Safety & input/output checks
    • Cost ceilings & routing
  4. Phase 04

    Measure and hand off

    We ship a dashboard for quality and spend and document the system end to end, so your team owns it: operating, debugging, and extending without us.

    • Quality & spend dashboard
    • Runbook & documentation
    • Ownership handoff

The receipts

AI that earned its keep

2×

Conversion lift, guaranteed

5

Across 19 verified Clutch reviews

+100%

Sales for a DTC client

300+

Engagements shipped

See the full results →

We ship the part that changes a number

Most "AI strategy" is a slide. A roadmap, a maturity model, a few impressive demos, and nothing in production that moves a metric. We work the other way. We start from the single workflow or decision where AI changes a real number (cost, speed, conversion, or capacity) and we ship that, wired into your actual stack.

The outcome is AI that does a job your team can measure: faster support, qualified leads triaged, content drafted, a workflow that used to take a day now taking minutes. Built into your product and operations, with the guardrails to run it safely and the reporting to prove it's working, not a clever prototype that dazzles in a meeting and dies on real data.

Guardrails, evals, and cost controls, standard

The difference between a demo and a system is everything that happens when a real user does something unexpected. So guardrails aren't an upsell. They ship by default. Input and output checks, human-in-the-loop where it matters, and clear failure behavior so a surprising request doesn't become a public problem.

Quality has to be measurable, so we build an evaluation harness that keeps the system honest as prompts, models, and data change. "It works" becomes a number, not a vibe. And spend has to be predictable, so we add hard cost ceilings, caching, and model routing. A traffic spike or a retry loop can't quietly drain a budget nobody agreed to.

You own it, end to end

The worst AI outcome is a system only the vendor can run. So we measure and hand off. A dashboard that shows quality and spend side by side, a runbook, and documentation thorough enough that your team operates, debugs, and extends the system without us in the room.

You walk away with a working AI capability in production, an evaluation harness that keeps quality honest, and a clear-eyed view of what it costs and what it returns. This is the newest lens in the approach, and it threads into development, optimization, and digital marketing as part of the Made to Sell System. See the results, then book a call.

The Chykalophia team shared our vision for our community website: design, speed, and the various functions we needed, including our membership arm.

Ali Prato & Blair NelsonCo-Founders · Fertility Rally

Why us

Why teams pick us for AI integration

  • We ship, we don't slide

    Most "AI strategy" ends at a deck. We end at a capability running in production against a metric you chose. That's the part that actually changes a number.

  • Guardrails are standard, not extra

    Evals, safety checks, and hard cost ceilings ship by default. We don't hand you a clever demo and leave the production risk for you to discover.

  • We stand behind the result

    Our 2× conversion guarantee means the work has to prove itself where it counts: measurable outcomes. If it doesn't move the number, we keep working until it does.

  • You own and operate it

    A dashboard, a runbook, and full documentation ship with the system, so your team runs and extends it without us. No lock-in, no perpetual retainer.

From our help center

Read how it works first

Questions, answered

AI integration, without the hype

Further reading

Guides on ai integration

ready when you are

AI where it helps. Nowhere it doesn't.

Tell us the task you're tempted to hand to AI. On a free call we'll be straight about whether it's worth it, and what it would take to run it safely.

Book a CallSee the results