HiveBiz
Legacy + AI — no rip-and-replace.
Most enterprises already have systems running — but data is siloed, processes are manual, knowledge lives in people's heads. We don't tell you to replace everything. Instead, we add an AI workflow layer on top of what you have, integrating data and automating processes.
Built for real operations
Every HiveApp is designed around actual operational pain points, not technology for technology's sake.
System & data integration
connect CRM, ERP, HR, databases and APIs to break silos
Process automation
stitch cross-system repetitive work into automated flows with approval gates
Knowledge layer
documents, SOPs and historical data become a queryable, citeable AI knowledge base
Governance & security
role-based access, audit trails, encryption — meeting enterprise security requirements
When it fits best
- Cross-departmental reporting — auto-extract data from multiple systems for periodic reports and alerts
- Supply chain & operations — automated reconciliation and anomaly detection across procurement, inbound and outbound
- Finance & admin — automate reconciliations, data entry, expense approvals and other repetitive work
Why EvoMesh?
- Real engineering team: not just consultants — we build, code and integrate ourselves.
- In-house platform: HiveCode is our own — no outsourcing of core capability.
- Custom per project: every solution is designed around your actual processes and systems.
- Human-in-the-loop: AI handles repetition, humans handle judgement — with review and monitoring.
From assessment to go-live in three steps
We don't sell you a toolbox and leave you to it. Every solution starts with diagnosis and rolls out in stages.
Diagnose
inventory current systems, data sources and key processes; identify high-value entry points
Design
integration architecture, workflow design, permission model and security standards
Deliver
phased implementation, testing, go-live, then continuous optimisation and expansion
You might be wondering
Do we have to replace our legacy systems?
No. Our approach is usually to add an AI layer on top of existing systems, connecting via APIs, databases or middleware — preserving your investment while adding AI capabilities.
How do you guarantee data security?
All integrations are designed to your security standards — including encryption, access control, audit trails, and choice of deployment (private cloud / on-premise).
How long do projects take?
It depends on the number of systems and process complexity, typically 8–16 weeks. Larger projects are broken into phases with clear deliverables per phase.
Wondering if it fits your team?
Book a free 30-minute call. Tell us about your scenario and we'll help you decide if it's a fit — and where to start.
Book a consultation