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AI implementation services, with people in control

Sitation provides AI implementation services for retailers, distributors, brands and manufacturers, from choosing where AI will pay off to scaling it safely. We connect agents and generative AI to your approved product data and business systems, with evaluation, permissions and human review built in. We also help you prepare product data for agentic commerce, where AI shopping agents compare and buy products for customers.

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Best for
Teams with product data, content or support work that is repetitive, slow or hard to scale.
How it starts
A use-case workshop that ends with a working proof of concept and a roadmap.
Team
A forward-deployed AI engineer, up to a full delivery team.
What you keep
Working AI workflows, evaluation results and a governance model your team understands.

What AI digital transformation includes

AI use-case workshop

Start by finding where AI fits. We assess your data and workflows, choose the highest-value use cases and build a small proof of concept on your own content, following the AI strategy approach we use with clients.

  • AI readiness review of your data and systems
  • Use-case selection and prioritization
  • A working proof of concept
  • Impact estimate and a practical roadmap

Agentic AI pilots

A pilot moves from demonstration to real operations. Agents take on defined tasks in your workflows, such as enrichment, taxonomy mapping or data normalization, while your team reviews the results.

  • Agents connected to your PIM, ERP and commerce systems
  • Clear permissions and human review points
  • Success measures agreed up front
  • Training and change management for the teams involved

Generative AI for product content

Generative AI can produce and maintain product content at catalog scale when it works from approved data and brand rules. We use Plezio Draft and custom workflows inside your PIM.

  • Brand-aligned product descriptions and retailer copy
  • Attribute extraction from images and PDFs
  • Taxonomy and attribute suggestions, and gap detection
  • Translation and localization for new markets

Scale, govern and run AI

Once a use case is proven, we roll it out and keep it accurate. That includes governance, monitoring and ongoing tuning, delivered as a project or as part of managed services.

  • Production rollout across teams and systems
  • AI governance, oversight and data-quality rules
  • Monitoring, evaluation and model tuning
  • Ongoing support and enhancements

Managed Agents for PIM & MDM

Want agents running for you? Sitation builds and operates system-agnostic AI agents that put governed PIM and MDM information to work in customer support, sales and product operations, with permissions, human review and monitoring.

Explore Managed Agents

How an AI engagement runs

  1. Workshop

    Choose use cases and test one on your own data.

    Outcome: Proof of concept and roadmap

  2. Pilot

    Run agents on real work with people reviewing the results.

    Outcome: Measured results

  3. Scale

    Roll out to more teams, content and systems.

    Outcome: Production workflows

  4. Run

    Monitor, evaluate and improve over time.

    Outcome: Accurate, governed AI

The right team for the work

Allocate part of one specialist’s week, add several specialists to your team, or hand an outcome to an entire Sitation team. Looking for staff augmentation? Start with a specialist or team extension. Our forward-deployed specialists work in your systems and delivery process, with clear responsibility for results.

  1. Specialist

    One expert, part-time or full-time.

    A forward-deployed AI engineer working with your product and IT owners.

  2. Team extension

    Several specialists inside your team and delivery process.

    AI engineers and PIM architects working in your delivery process.

  3. Dedicated team

    A Sitation-led team that owns a defined outcome.

    A Sitation team that delivers a pilot or rollout end to end.

How our engineering and delivery teams work

Services that work together

Our four services are built to connect, so the team that builds your foundation can also run it, extend it and put AI to work on it.

  1. Managed servicesKeep AI workflows accurate as part of ongoing managed services.
  2. AI digital transformationPut AI into workflows that matter, with people in control.This page
  3. PIM, MDM & DAM implementationAI works best on a clean, governed product data foundation.
  4. Engineering & delivery teamsAdd engineers to build AI into your own applications and tools.

What do your AI implementation services include?

They cover four stages: a use-case workshop, agentic AI pilots, generative AI for product content, and scaling what works with governance. You can take them one at a time. Each stage leaves you with something to keep, from a proof of concept and roadmap to production workflows.

What is agentic commerce, and what does it mean for our product data?

Agentic commerce is buying in which a shopper uses an AI agent to find, compare or buy products. Agents read product data, not page design, so gaps in attributes or use-case content can keep a product out of their answers. We help you find those gaps in your PIM and close them with AI-assisted enrichment and human review. See agentic commerce in our glossary.

Where should we start with AI?

With a free AI readiness review or a use-case workshop. The workshop narrows the options to the few that are worth doing and tests one on your own data before you commit to more.

Will AI change our product data without review?

Only if you decide it should. We define permissions and review points for each workflow, and many teams keep human approval in place for published content.

Which AI models do you use?

We choose models for each task and connect them to your systems, so you are not tied to one provider.

What is the difference between this and Managed Agents?

This service helps you choose, prove and adopt AI across your workflows. Managed Agents is an ongoing service where Sitation builds and operates specific agents connected to your PIM or MDM.

Discuss your AI project

Tell us the workflow you want to improve. We will suggest a first use case and how to prove it.

Or start with a free AI readiness review of your product data and systems.

Discuss your project