A Breakaway Strategy
ERP implemented at machine speed
NeuralERP.AI deploys patent-pending AI agents as digital consultants on your SAP S/4HANA programme — automating requirements, configuration and data migration to cut implementation time and cost by 50–60% while raising quality.
- 50–60% lower implementation cost
- 98%+ data migration accuracy
- Measurable ROI in 6–8 weeks
30 minutes with a senior practitioner. No sales deck — we scope one measurable opportunity in your programme.
50–60%
Lower implementation cost and timeline
70%
Of configuration effort automated by agents
98%+
Data migration accuracy, with zero data loss
6–8 wks
From engagement start to measurable ROI
The problem
ERP programmes fail in four predictable ways
ERP vendors have multi-year migration backlogs and system integrators cannot hire fast enough to clear them. The result is a market where cost overruns are normal — and every one of them traces back to the same four causes.
Scope control
Requirements drift between workshops and configuration. Every change is re-litigated in meetings rather than resolved against a single source of truth.
Data migration
Roughly 20% of the implementation budget, and the single biggest cause of delay. Manual transformation and reconciliation dominate the critical path.
Project management
Governance runs on status meetings and spreadsheets. Problems surface late, when the cost of correcting them is highest.
Resource skills
Delivery scales linearly with headcount. Scarce senior expertise gets spread thin across onsite and offshore teams.
The solution
Break the linear path between headcount and revenue
Traditional delivery is resource-heavy: more scope means more consultants. Our digital consultants invert that. Seventy per cent of the work — configuration — becomes automated and repeatable, so the programme scales with agents instead of people.
AI agents read your existing landscape and business requirements directly.
Enterprise and customer-specific design templates, not blank-page workshops.
Automated, rules-based configuration executed by agents against the template.
Agent-driven pricing configuration running against a live ERP tenant.
How it works
Agents that act as digital consultants
A patent-pending agentic AI model sits between your requirements and your ERP. It augments the consulting model you already run — which is why it slots into live programmes instead of demanding a restart.
Business requirements go in
Existing documentation, workshop output and configuration history are ingested as-is — no rekeying into a new tool.
Ask in natural language
Practitioners query the programme the way they would ask a colleague, instead of navigating configuration screens.
The GenAI brain resolves it
A knowledge graph connects data across silos and weights the relationships that matter, while specialised small language models handle each operational task.
A human approves
Every material decision routes through human-in-the-loop review, so the agent accelerates the practitioner rather than replacing their judgement.
Configuration lands in the ERP
Approved output is written straight into SAP through the API — definite answers, applied, not recommendations in a document.
Knowledge graphs structure enterprise data so language models return grounded answers instead of hallucinations.
Wondering whether this fits your landscape?
Thirty minutes with a managing partner will tell you either way.
Products
Four agents, deployed across the programme lifecycle
Most ERP automation stops at custom code or data movement. Ours covers the configuration layer as well — the 70% of programme effort still done by hand. Patent-pending, and already piloted in live customer programmes.
AI-powered S/4HANA data migration
Accelerates ECC to S/4HANA transformation with agentic AI, replacing manual transformation with automated, repeatable pipelines.
- 5–6 month timeline
- 98%+ accuracy with automated reconciliation
- 50%+ cost reduction
Requirements-to-configuration agents
Agents translate business requirements into validated ERP configuration against enterprise and customer-specific design templates.
- 70% of configuration automated
- Human-in-the-loop approval
- Standardised, auditable output
Autonomous incident management
Incidents are logged and queued automatically against modifiable logic, with a private GenAI platform that keeps learning from every disposition.
- Autonomous logging and disposition
- Human-in-the-loop approval gates
- Continuous learning and governance
Control Tower agents
Manage the business by exception. We identify up to three opportunities with a minimum 1% P&L impact and stand them up as continuous optimisation loops.
- Minimum 1% P&L impact per opportunity
- 6–8 week engagements
- Private GenAI platform
The numbers
$300K+ saved on a typical ECC to S/4HANA migration
Data migration is roughly 20% of an ERP implementation budget and the primary cause of project delays. These are the figures we see on a typical ~$3M migration, based on our delivery experience.
| Migration aspect | Traditional | NeuralERP.AI | Improvement |
|---|---|---|---|
| Timeline | 9–12 months | 5–6 months | ~50% faster |
| Team size | 20–35 data stewards | 10–15 business users, part time | ~50% smaller |
| Approach | Manual transformation | AI automation | Repeatable |
| Data accuracy | 95–97% | 98%+ | Zero data loss |
| Total cost | $600K+ | ~$300K | 50%+ reduction |
Figures reflect our delivery experience on a typical ~$3M ECC to S/4HANA migration. Actual results depend on landscape complexity and data quality.
Granular control over the hardest part of the programme
Intuitive, accurate and secure control over complex migrations — with automated validation and reconciliation guaranteeing 98%+ accuracy before anything lands in the target system.
Walk through your migrationWhy we are different
We scale with agents. Traditional consulting scales with people.
This single structural difference is what drives the 50–60% reduction in time and cost — while improving quality and long-term maintainability.
Traditional consulting model
Our AI-native model
Scales with more people
Scales with AI agents and automation
Manual migration and testing
GenAI-driven autonomous migration
Static operating model design
AI-assisted continuous operating model optimisation
Governance through meetings
AI-enabled predictive governance telemetry
High post-go-live support cost
Lower cost of ownership through embedded intelligence
AI added as an afterthought
AI-native from the foundation
Performance beyond go-live — Industry 5.0 plus DevOps discipline, delivering higher velocity with stronger control, predictability and long-term maintainability.
Estimate your saving
What would this be worth on your programme?
Move the sliders to your numbers. The estimate applies the same migration economics shown in the table above — no email required.
Assumes data migration accounts for ~20% of the implementation budget and that our agents halve both its cost and its duration.
Estimated migration saving
$300,000
How we engage
Start small, prove it on your data, then scale
We do not ask for a multi-year platform commitment up front. Engagements are phased so you can see measurable output before the budget grows — which is what makes this workable for a mid-market balance sheet.
Assessment
A working session with a managing partner. We look at your landscape, timeline and data quality, and identify where agents would move the needle.
- No cost
- No sales deck
- One scoped opportunity
Control Tower engagement
We stand up agents against up to three opportunities, each carrying a minimum 1% P&L impact, and prove the model on your own data before you commit further.
- Up to 3 opportunities
- Minimum 1% P&L impact each
- Rapid, measurable ROI
Migration or full programme
Agents run the ECC to S/4HANA migration, or the wider requirements-to-configuration workstream, alongside your team and your system integrator.
- ~50% faster than traditional
- 10–15 part-time business users
- 98%+ data accuracy
Run and optimise
Incident management and continuous process optimisation carry on after go-live, on a private GenAI platform that keeps learning from your operations.
- Performance beyond go-live
- Human-in-the-loop approval
- Lower cost of ownership
Engagements run directly with you, or alongside the consulting partner already on your programme.
Security and ownership
Enterprise AI without giving up control
The objection we hear first is never about capability — it is about where the data goes and who owns the model. Here is the answer.
Tenant-specific isolation
Customer instances and user authorisations are isolated through robust segmentation, security and governance frameworks. Agents apply system-wide learnings without ever crossing a tenant boundary.
You own everything
Data, configurations, AI models and operational artefacts all remain in your environment and under your control. Freedom to grow, customise and scale AI on your terms.
Human in the loop
Approval gates sit in front of every material change. Automation carries the volume; your practitioners keep the judgement and the accountability.
Questions
The things buyers ask us first
Straight answers to the objections that come up in most first conversations.
Who we work with
Built for programmes where the timeline is not negotiable
We work directly with enterprises and alongside consulting partners. If your programme looks like one of these, the assessment will be worth the 30 minutes.
Mid-market enterprises
$75M–$500M revenue, running an ERP implementation or upgrade where the budget leaves no room for a nine-month data migration.
PE-owned portfolio companies
Where the ERP programme sits on the value creation plan and the hold period does not tolerate slippage.
M&A and carve-out programmes
Separations, integrations and first-time implementations with fixed deadlines and incomplete source data.
Consulting partners
System integrators under margin pressure who want to break the resource-dependency model and win on delivery speed.
Partnering with a consulting firm?
We actively propose partnerships alongside direct engagements — our agents augment your delivery model rather than competing with it.
Next step
Find out what 50–60% looks like on your programme
Thirty minutes with a managing partner. We will look at your landscape, your timeline and your data, and tell you what our agents would actually change.
- A read on where your programme is leaking time and cost
- One scoped opportunity with a measurable P&L or timeline impact
- A straight answer on whether our agents fit your landscape