AI integration

Production AI built into the way your business actually works.

CrecyStudio integrates AI into products and operations where it can save time, improve decisions, or automate repeatable work. The production standard is clear: connect it to the right data, define when it may act, log what it does, and route uncertain or high-risk cases to a human. Korent, Couranr Market, and Fleiko already use AI in live product workflows.

Scope your AI build See it in our work

AI embedded in live product workflows

Guardrails + audit trails built in

Human-in-the-loop by default

You own the code, data & prompts

Pour qui

Best for businesses past the “let's try ChatGPT” phase.

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You've seen what AI can do and want it wired into your actual tools and workflow — not another browser tab.
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Your team burns hours every week on work a well-built agent could handle: triage, follow-up, lookups, data entry.
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An existing AI workflow is brittle, difficult to monitor, or disconnected from the systems your team actually uses.
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You want AI that's accountable: logged, reviewable, supervised — not a black box you can't trust with customers.

Idéal pour

Best when AI has a defined job, data source, and business outcome.

You have a specific, repetitive, expensive workflow you want AI to own.
You want accountable AI — gated, logged, reviewable — handling real customers or real data.
You want a delivery partner that can support the system after launch as workflows and data change.

Pas le bon premier pas

Probably not the right first move if…

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You mainly need a website or online store — start with our websites or e-commerce lane.
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You want the cheapest possible chatbot with no concern for whether it survives real use.
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You're exploring AI conceptually but don't yet have a workflow or outcome in mind — start with our automation audit instead.

Problèmes que nous résolvons

Where production AI usually breaks down.

The workflow was designed around a happy path instead of real inputs, edge cases, and operating volume.

There is no clear policy for uncertainty — no confidence gate, review step, or audit trail.

It lives in a silo, disconnected from your CRM, inbox, and database, so it never actually saves time.

The system lacks documentation, observability, and a maintainable path for future changes.

Ce que vous obtenez

What we build into your business

AI agents & agentic workflows

Agents that act across your tools — qualify a lead, update a record, draft the reply, flag the exception
Confidence thresholds and guardrails so an agent only acts when it's safe, and escalates when it isn't
Preview-before-execute for actions that change real business data

Customer & internal support copilots

A support assistant that answers from your live account, ticket, and policy data — not generic guesses
Autonomous resolution of low-risk, high-confidence requests; everything else routed to a human with context
Agent-assist that drafts replies so teams can respond faster while keeping a review path

AI-powered workflow automation

Your automations (Zapier / Make / n8n) given judgment — routing, summarizing, deciding, not just moving data
Intelligent triage so the right things reach the right people first
Ties directly into our Systems service if the plumbing needs to come first

Document & data extraction

Turn invoices, forms, contracts, and PDFs into structured data automatically
Confidence flags so low-certainty items get a human check instead of a silent error
Cuts the manual data-entry work that quietly costs a salary

Computer vision & authenticity verification

Automated image analysis — before/after detection, condition checks, photo verification
Provenance and audit trails behind verified results so the system can explain how a conclusion was reached
Verification workflows can combine model output with deterministic trust rules and auditable history

AI in production

AI connected to real product workflows.

Korent, Couranr Market, and Fleiko use AI for operational assistance, shopping support, and fleet workflows. The same production patterns — guardrails, review paths, and clear authority boundaries — carry into client work.

Korent

A context-aware operator copilot that answers from live business data and keeps sensitive write actions behind explicit confirmation.

Couranr Market

A conversational shopping assistant that helps customers build a cart while pricing, inventory, delivery rules, and final order authority remain server-controlled.

Fleiko

Fleet AI assistance and operational digests layered into vehicle, maintenance, cost, and dispatch workflows.

Processus

From use case to production.

We start with the job to be done, the cost of error, and how success will be measured. Model choice follows those constraints.

01 — WEEK 1

Scope the real job

Use case, autonomy level, what a mistake costs, and the metric we're moving — hours saved, response time, error rate.

02 — WEEK 1–2

Prove it on your data

We validate against representative inputs and edge cases before committing to the full build.

03 — BUILD

Ship to production

Built into your tools with the confidence gates, guardrails, logging, and human-in-the-loop steps that keep it trustworthy. Tested with real data before go-live.

04 — LAUNCH + RUN

Measure & maintain

We track the metric we promised, tune it, and optionally run ongoing ops so it keeps working as your business changes.

Tarifs

Priced for production use, risk, and operating volume.

Every build is scoped around autonomy, risk, data sensitivity, and expected volume. We define the target outcome, validate representative data early, and make ongoing token, infrastructure, monitoring, and tuning costs visible before launch.

SINGLE INTEGRATION

$10,000 - $20,000

One focused AI capability shipped into your business — a single agent, an extraction pipeline, or a support copilot. Live, gated, and supervised.

Adapté à votre projet

PRODUCTION SYSTEM

$25,000 - $50,000

Multiple AI capabilities working together across your tools, with confidence gating, review steps, logging, and handoffs designed in.

Point de départ le plus courant

ARCHITECTURE BUILD

$50,000 - $100,000+

A full AI layer for your operation — multi-agent orchestration, custom models, and the infrastructure to run it reliably at scale.

Adapté à votre projet

FAQ

What people ask before committing to AI.

How is this different from just using ChatGPT?

ChatGPT is a great tab to have open. It doesn't read your CRM, follow your rules, log its decisions, or run unattended at 2am. We build AI into your systems with the connections, gating, and oversight that turn a clever demo into something you can depend on.

What happens when the AI gets something wrong?

We design for that from the start. Every build uses confidence thresholds, review paths, and logging wherever a mistake has meaningful cost, so uncertain cases can be inspected instead of silently accepted.

Isn't this just an “AI agent” wrapper on a chatbot?

We use agentic patterns only when the system genuinely needs to plan or take actions. If a simpler automation is safer, faster, and less expensive, we recommend that instead.

Do I own what you build?

Yes — the code, prompts, data, and integrations are yours. Ongoing support is optional and scoped separately.

How do I know it'll save money, not just cost it?

We define the metric before we build and validate on your real data early. If it doesn't move the number, we tell you before you spend on a full build.

What does it cost to keep running after launch?

Production AI has real ongoing costs (tokens, infrastructure, monitoring). We're upfront about them and offer an optional ops retainer.

Can you prove you've actually done this?

Yes. Korent, Couranr Market, and Fleiko use AI in live product workflows. You can review those products in our selected work.

Prêt à passer à l'action ?

Tell us the workflow that's costing you the most.

We'll assess whether AI is the right tool for the workflow and, if it is, define the controls, integration work, and production scope required to launch it safely.

Scope your AI build See recent work

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