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Get a QuoteRedefine's AI workflow assistance routes tasks automatically, predicts service level agreement breaches before they happen, and surfaces the right next step across product data management, order approvals, content publishing, and program management in one unified view.

Average time saved per team
0h
per week on manual task routing


0%
of missed deadlines come from routing, not capacity
0x
faster approval cycle when AI handles routing decisions
0 view
for product data management, orders, content, and program tasks simultaneously
Redefine's workflow AI operates across four commerce modules at once. Each node below is a live decision point. The diagram cycles automatically, or click any node to jump ahead.
Step 1 of 5: Task Created
When a new task enters Redefine, whether it is a product data management enrichment request, an order approval, a content publishing job, or a program task, the AI immediately reads its metadata, deadline, assigned module, and rule context.
Step 2 of 5: AI Analysis
The AI engine reads the task type, value tier, historical completion patterns, current team capacity, and any matching routing rules. It does not guess. It applies your configured logic and its learned patterns together.
Module: Product Data Management
For product data management tasks, the AI reads the product category, existing attributes, and channel requirements. It pre-fills suggestions for missing fields and highlights which attributes will block publishing if left empty.
Module: Order Approvals
For order approvals, AI routes based on value tier, account type, pricing exceptions, and team capacity. Approvers receive a pre-summarized context card so they can decide in one click.
Module: Content Publishing
Content publishing tasks are analyzed against publishing rules, asset completeness, and scheduled go-live windows. AI surfaces incomplete items and routes them to the right reviewer before the deadline.
Module: Program Management
For team store and program tasks, AI reads deadlines, budget consumption, and approval sequences. It scores each task by urgency and surfaces the next action for the program manager.
Step 4 of 5: Service Level Agreement Prediction
AI models current load, assignee velocity, and task complexity to predict whether each task will meet its service level agreement. When a breach becomes likely, an alert fires with re-routing options before the deadline is missed.
Step 5 of 5: Resolution
When a task is resolved, AI logs the outcome, updates routing patterns, and immediately surfaces the next highest-priority item in the queue. The system gets smarter with every completed workflow.
The AI reads each approval's context and surfaces the recommended action before the assignee even opens the task. Managers spend less time deciding and more time approving.

Define routing rules once. AI applies them to every task that enters any module. No more copy-pasting assignments or manager-in-the-middle routing decisions.
When your team opens a product data record, approval form, or order entry field, AI pre-populates suggestions based on context, category, and prior entries. Fields fill faster and with fewer errors.
No other platform can do this. Because Redefine's product data management, order management, content, and program workflows are all native, the AI sees the full picture. It identifies where tasks stall, who is overloaded, and which module is creating downstream delays.
14
Product data tasks
Healthy
7
Approvals
Bottleneck
22
Content
Watch
5
Programs
On track
AI models task complexity, team velocity, and current queue depth to predict breaches before they happen. Alerts fire with re-routing options while you still have time to act.
Product data tasks, order approvals, content reviews, and program intake surface in one prioritized queue. Your team sees what needs attention next without opening four separate modules.
Workflow throughput, approval cycle time, task backlog, and service level agreement health from every module in one dashboard. No exporting spreadsheets from four systems to build a weekly operations review.
Your team defines the routing rules once. Redefine connects to your modules and the AI starts routing from day one. Your team spends zero time re-building logic that should already work.
Day 1 to 2
Module connection and rule mapping
We connect AI workflow assistance to your active modules and map your existing routing rules into the system.
Day 3 to 5
AI calibration on your task history
AI learns from your existing task data: who resolves what quickly, where bottlenecks recur, and which service level agreements are at risk.
Day 6 to 8
Pilot run with your team
A supervised pilot processes your live tasks through AI routing. Your team validates decisions and adjusts rules before full activation.
Day 9 to 10
Full activation and first service level agreement alerts live
AI routing goes fully live across all connected modules. Service level agreement prediction and bottleneck alerts activate. Your team starts reclaiming hours immediately.
Day 1 to 2
Day 3 to 5
Day 6 to 8
Day 9 to 10

Drivingi
Business-to-Business Promotional ProductsEstablished business-to-business promotional products company with complex catalogs, customer-specific pricing, and approval-based purchasing workflows.
Customer approvals were manual. System data was fragmented across enterprise resource planning, customer relationship management, and marketing tools. Operational bottlenecks built up across every module.
A custom approval and access control system was implemented to handle business-to-business onboarding and purchasing permissions. Salesforce integration centralized customer and account data. All integrations were designed to function cohesively with minimal manual intervention.
reduction in operational friction from manual approval routing and fragmented data flows

Business-to-business commerce operations teams
Managing approval queues for wholesale orders, customer-specific pricing, and account onboarding across dozens of accounts simultaneously.
Product data and product information management teams
Running large enrichment batches where field-level routing, missing attribute alerts, and publish-readiness checks slow teams down at scale.
Program store and team store managers
Coordinating supplier confirmations, budget approvals, and launch checklists across multiple store programs with tight deadlines.
Content and channel publishing teams
Managing content readiness across channels where incomplete assets, late approvals, and missed go-live windows create cascading delays.
AI and Automation Hub
See the full AI and automation capability suite including content, enrichment, and predictive intelligence.
AI Content Assistance
AI that writes product descriptions, search engine optimization copy, and channel content grounded in your live product information management data.
AI Product Data Enrichment
AI that fills missing product attributes, normalizes values, and prepares records for channel publishing.

Other workflow tools report on form submissions. Other AI tools generate content. Neither can see your order queue, your product data bottleneck, your program task status, and your content readiness simultaneously. Redefine can because all four modules are native, not stitched together.
Governance Controls
Competitor AI is often poorly governed. Decisions happen without a trace, overrides are buried in settings, and rules are locked behind developer access. Redefine gives your operations team full visibility, full override, and a full audit trail on every AI routing decision.
Most workflow AI tools launch with thin use cases and vague return on investment claims. Redefine measures hours reclaimed per team per week, service level agreement breach rates before and after activation, and routing accuracy across every connected module. You see the numbers from day 10.
AI routing works alongside your existing rules, not instead of them. Your defined routing logic runs first. AI fills gaps where no rule exists and learns from patterns in your team's resolution behavior to improve suggestions over time. You control everything in the rules editor.
No. Redefine AI is designed to surface suggestions and route tasks, not close the loop without human sign-off. Approvals always require a human action. AI reduces the time to get to that action by routing correctly and pre-summarizing context so the approver spends seconds, not minutes.
After the calibration period, service level agreement prediction accuracy typically reaches 90 to 96 percent on teams with sufficient task history. The model improves continuously. Predictions fire 48 hours before the deadline so there is time to re-route. You can configure prediction sensitivity and override thresholds in the settings panel.
Yes. AI workflow assistance activates for whichever modules you have connected. If you use product data management and order management but not program management, AI will route and analyze those two modules. As you add modules, the AI cross-module view expands automatically.
Most teams see measurable routing improvement from day 10. Hours reclaimed per team member per week are visible in the first two weeks of full activation. Service level agreement breach reduction becomes clear within the first 30 days of operation.
Good Fit
Not the Right Fit
Not sure? Tell us your situation and we will be straight with you about whether this is the right fit.
Submit your brief →We will review your situation and send a scoped proposal within 3 business days. Expect a call within 48 hours to align on the right starting point.
Call within 48 hours · proposal in 3 days · Sprint 1 within 1 week of sign-off
Call within 48 hours
We review your brief before calling so the first conversation is substantive.
Scoped proposal in 3 days
Line-by-line scope. No vague estimates. No commitment required to receive it.
500+ workflows automated
Across 90+ commerce brands. Every routing rule, every module, every service level agreement prediction tested in production.
Code ownership stays with you
You own every routing rule, configuration, and integration. No lock-in.
Unified workflow visibility, not tool-switching
Product data tasks, order approvals, and content publishing surface in one prioritized queue. No opening four modules to find what is stuck.
Sprint 1 within 1 week of sign-off
First routing rules live in production within seven days. Your team sees automated task assignment before the full rollout is complete.