Most tooling stops the moment the project ends. Evolve moves in and keeps learning — your configuration, your decisions, your workflows, your tickets. A second brain for your SAP and the people who run it.
45%
reduction in total time to completion — the whole program, not a cherry-picked task
14
specialist agents across all seven phases — one shared knowledge base underneath
100%
of decisions documented as you go — with reasoning and source, auditable forever
Estimates based on selected Qorelo engagements. Results vary by phase and project.
WHAT OUR CUSTOMERS SAY
"We see it as a potential one-stop solution for AI across our SAP transformation operations."
Qorelo gives SAP teams a continuous improvement layer after migration — monitoring the live system, analysing change impact, surfacing improvement opportunities, and helping teams decide where AI, automation, or modernization should be applied next.
Handle SAP change requests with full context, impact analysis, and delivery-ready outputs.
Understand impact before build
Assess how each change request affects configuration, custom code, integrations, dependencies, and business processes.
Move from request to backlog
Generate user stories, acceptance criteria, solution notes, and implementation recommendations for the delivery team.

Monitor the live SAP landscape against the approved baseline and detect where the system starts to drift.
Track configuration drift
Compare live system changes against approved design, configuration, and process decisions.
Identify operational risk
Surface risky programs, weak dependencies, recurring issues, and areas that need review before they become delivery problems.
Find where AI agents, automation, and decision support can improve SAP operations after migration.
Discover automation potential
Identify repetitive workflows, manual checks, reporting gaps, and decision-heavy processes that can be improved with AI.
Prioritize high-value use cases
Turn operational data and process signals into a roadmap for AI integration and continuous modernization.


Keep business processes aligned with the system as teams, requirements, and operations change.
Capture process gaps
Use tickets, change requests, workshops, and system signals to identify where processes no longer match business needs.
Create improvement outputs
Generate process updates, documentation, change recommendations, and roadmap inputs for future releases.
Decision memory
Every implementation decision — what was configured, which alternatives were considered, who decided, and why — remains queryable forever. Even after the project ends or a consultant moves on.
Enterprise search
Configuration, master data, business processes, and integration logic — the discovery layer legacy vendors never built.
Release confidence
SAP pushes two major releases a year — February and August. Evolve assesses the impact against your specific configuration before each one reaches your tenant.
Agents on the live system
Joule and custom Qorelo agents run routine operations, reporting, and workflow steps — grounded in your decision log rather than prompts written from scratch.
Live-system transparency
Current master data, GL balances, open orders, inventory levels — queried from the live tenant, read-only, in plain English.
Automated reporting
Orders by region, inventory ageing, GL reconciliation, integration health — generated on demand from live dataemains queryable forever. Even after the project ends or a consultant moves on.
In development now. Dates are plans, not commitments — nothing here carries an SLA until it reaches general availability.
H2 2026
The custom-agent launch set grows into a full catalogue — every agent grounded in your decision log, every one behind your sign-off.
Beta → GA
H2 2026 – H1 2027
Release management with automated regression testing built around the February/August cycle — enterprise testing capability embedded into Evolve. One platform, one invoice.
In development
Q4 2026
Your business processes translated into agents, workflows, and apps — replacing the ad-hoc internal mini-apps every company accumulates around its ERP.
In development
Q1 2027
Demand forecasting, inventory optimisation, and cash-flow models — running on your live data, not an export.
Planned
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