The platform
An AI workflow platform for operational teams
The WithPraxis platform connects the data, tools and rules needed to support real workflows across reporting, admin, customer service, sales, ecommerce, product data, pricing, stock, fulfilment and operations.
It is designed from operational experience inside complex businesses, where data is fragmented, systems are disconnected, and execution depends on manual coordination across spreadsheets and existing tools.
Each capability exists to solve a real workflow problem. Use what you need.
The aim is useful automation, clearer workflow visibility and controlled AI rollout, with human review where it matters.
Bytebard Data Mesh
Platform-Agnostic Integration
Connects your entire tech stack, ecommerce platforms, PIMs, ERPs, CRMs and marketplaces, without forcing migrations. Creates a unified data foundation for AI-powered workflow tools. Connects ecommerce platforms (Shopify, Magento, Adobe Commerce), PIMs (Akeneo, inriver, Salsify), ERPs (SAP, NetSuite, Microsoft Dynamics), CRMs (Salesforce, HubSpot) and operational systems into a unified, queryable data layer.
Learn moreBusiness & Customer Enrichment
Data Validation & Standardisation
Appends firmographic and demographic data to existing records. Validates, standardises, and fills gaps to improve data quality across customer and business profiles. Appends company size, industry classification, and revenue data to B2B accounts. Validates contact information, standardises address formats, and fills demographic gaps in customer profiles.
Learn moreCRM & CDP Tools
Unified Customer Data
Tools for consolidating customer interactions across touchpoints into a unified view. Manages connections between CRM, marketing, and commerce systems to support consistent customer understanding. Consolidates customer interactions from commerce platforms, support tickets, email engagement, and sales activity into unified profiles used across marketing, service, and sales teams.
Learn moreCustom LLM Deployment
Organisation-Specific Models
Deploys language models trained or fine-tuned for your specific domain within your infrastructure. Keeps sensitive data internal while enabling AI-powered capabilities. Trained on your product catalogues, customer data, internal documentation and workflow history to answer business-specific questions and support domain-specific workflows within your infrastructure.
Learn moreHow this works together
Data Mesh makes information accessible and LLM-ready. Enrichment adds intelligence to records. CRM and CDP integration creates a unified customer view.
From this foundation, Insights surfaces patterns. Forma and Ideation provide frameworks for prioritisation. Commerce capabilities execute against enriched data.
Nothing requires ripping out existing systems. The platform connects to what you have.
Most initial conversations cover:
- Your current tech stack and integration requirements
- Specific workflows where clarity is needed
- Realistic timelines and implementation approach
"The platform connected to everything we already had - Shopify, NetSuite, Salesforce, our custom WMS. No rip-and-replace, just better connections."
Operations Director, D2C Retail (UK)
Common questions about the platform
Common questions about the platform
What does the platform actually do?
It gives teams a practical way to apply AI to everyday workflows: reporting, admin, customer service, sales follow-up, product data, pricing, stock visibility, fulfilment and internal handovers. It works alongside the systems and data already in use.
Does the platform replace our ERP, WMS or commerce systems?
No. It sits alongside ERP, WMS, CRM, PIM and ecommerce platforms and uses the data they already hold. Core systems stay in place.
What data does it need to be useful?
The data already used to run the workflow. That usually means product, stock, order, customer or supplier data from your existing systems and spreadsheets. We work with what you have rather than asking for a clean dataset upfront.
How is this different from a dashboard or BI tool?
Dashboards and BI tools show you what happened. The platform helps the work itself get done: pulling information together, drafting outputs, supporting repetitive tasks and keeping a human in the loop.
How is human review handled?
Each workflow has clear inputs, review points and approvals where they matter. People stay in control of the output. The platform does the repetitive part, not the judgement.
How is governance handled?
Workflows are defined with clear ownership, controls and measurable outcomes. That makes it easier to see what AI is doing, where a human signs off and how performance is tracked over time.
Where does implementation typically start?
Implementation starts with one workflow where the impact is clear and the data is available. We make that workflow work end to end before extending the platform to others.
Related across WithPraxis