Workflow automation software that ends manual routing and missed deadlines
Redefine's workflow automation software 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
Your team is the routing engine. That ends here.
- Someone manually decides who handles each approval, every time
- Service level agreement deadlines are tracked in spreadsheets nobody checks until it is too late
- AI tools work on content but cannot see order approvals, product data management tasks, or program queues
- Bottlenecks are discovered after launch delays, not before

- Intelligent workflow automation reads task content and rules, then routes it to the right person without a manager in the loop
- Service level agreement breach predictions fire 48 hours early so you can act before a delay lands
- One AI view spans product data management, orders, content publishing, and program management simultaneously
- Bottleneck analysis runs continuously and surfaces fixes before they become incidents

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
Watch your workflow ai assistant handle each step
Redefine's ai workflow software 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
Every task that enters the system is immediately analyzed
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 workflow automation software immediately reads its metadata, deadline, assigned module, and rule context.
Step 2 of 5: AI Analysis
AI reads content, rules, and context simultaneously
The workflow ai assistant 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
AI suggests field values before the editor opens the record
For product data management tasks, the workflow automation software 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
High-value orders reach the right approver in seconds
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
AI routes content review and flags missing assets before publish
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
Program store tasks queue automatically with priority scoring
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
Breach alerts fire 48 hours before the deadline
Process automation 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
Task resolved. Next step surfaced. Loop complete.
When a task is resolved, the workflow ai assistant 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.
Every workflow capability your operations team needs
AI-suggested next steps in approval workflows
The workflow ai assistant 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.

Automated task routing based on content and rules
Define routing rules once. Intelligent workflow automation applies them to every task that enters any module. No more copy-pasting assignments or manager-in-the-middle routing decisions.
AI-powered form field suggestions and auto-complete
When your team opens a product data record, approval form, or order entry field, ai workflow software pre-populates suggestions based on context, category, and prior entries. Fields fill faster and with fewer errors.
- Reduce form completion time per task
- Fewer incomplete records blocking downstream steps
- Works across product data management, order forms, and program intake
AI analyzes bottlenecks across product data management, forms, order approvals, and content publishing in one view
No other platform can do this. Because Redefine's product data management, order management, content, and program workflows are all native, the workflow automation software 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
Intelligent workflow automation for deadline prediction and alerts
Workflow automation software 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.
Unified workflow visibility, not tool-switching
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.
Unified reporting, not portal-hopping
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.
From signed agreement to first AI routing in 10 days
Your team defines the routing rules once. Redefine connects to your modules and the ai workflow software 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 intelligent workflow automation 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
Module connections configured
Day 3 to 5
AI learning from your task history
Day 6 to 8
Pilot running on live tasks
Day 9 to 10
Fully live. First breach alert fired.
Approval workflows rebuilt for scale

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.
- Real-time inventory and pricing synced from Microsoft Dynamics 365
- Custom approval and access control across all business-to-business accounts
- Unified data flow with minimal manual intervention
reduction in operational friction from manual approval routing and fragmented data flows
Who benefits most from process automation ai

Business-to-business commerce operations teams
Managing approval queues for wholesale orders, customer-specific pricing, and account onboarding across dozens of accounts simultaneously. Process automation ai handles the routing.
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 workflow software works across the full Redefine platform
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 AI sees one module. Redefine sees everything.
Cross-module AI is only possible on a unified platform
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
- Every AI routing decision is logged with full audit trail
- Human override available on every AI suggestion
- Rules editor gives your team full control without developer help
- AI suggestions never auto-approve. Humans close the loop.
AI with governance, not AI on autopilot
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.
Measurable outcomes, not marketing promises
Most process automation 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.
Questions your team will ask before buying
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.
This is a strong fit if you recognize these problems
Good Fit
- Your team manually decides who handles every approval, every day, across multiple modules
- You have missed service level agreements because a task sat in the wrong queue for too long
- Your approvals, product data tasks, content reviews, and program jobs all sit in different tools with no unified view
- You want AI that a manager can govern and override, not AI that runs autonomously
- You already use one or more Redefine modules and want AI to work across all of them
Not the Right Fit
- You have fewer than five tasks per day across all modules combined. Manual handling is faster.
- You want fully autonomous AI approvals with no human in the final step
- Your workflows are entirely outside the Redefine platform in a legacy system you cannot migrate
Not sure? Tell us your situation and we will be straight with you about whether this is the right fit.
Submit your brief →Tell us where your workflow bottlenecks are
Brief received
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
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.