Enterprise Ops

Modernize without stopping — AI inside the enterprise at scale.

Modernization at scale, internal AI platforms.

Enterprise AI and modernization initiatives fail most often not from lack of ambition but from underestimating the integration complexity, change management requirements, and security review processes that large organizations impose. We've navigated these successfully nine times.

Why Evolve Edge

Enterprise integration depth SAP, Salesforce, Workday, ServiceNow, and legacy ERP integrations are first-class competencies, not footnotes. We've connected AI systems to the full enterprise application stack.

Change management awareness Technical excellence isn't enough in enterprise. We design deployments with adoption metrics, feedback loops, and stakeholder alignment processes built in from day one.

Security review track record Zero engagements blocked at enterprise security review. Our architectures are designed for the scrutiny of Fortune 500 information security teams.

Evolve Edge team at work

Engagement types

Internal AI platforms

Secure, governed AI platforms for enterprise teams — with SSO, data isolation, usage controls, and per-department cost attribution.

Process automation at scale

AI workflow automation for back-office operations: AP automation, HR operations, contract management, and compliance workflows.

Legacy modernization

Strangler-pattern migrations of legacy enterprise systems to modern stacks — without stopping the business that depends on them.

Enterprise AI copilots

Role-specific AI copilots for finance, legal, procurement, and HR teams — grounded in internal knowledge bases and integrated with existing workflows.

Data platform modernization

Migration from legacy data warehouses to modern lakehouse architectures — enabling the AI use cases that current data infrastructure can't support.

Vendor AI evaluation

Independent evaluation of AI vendor capabilities against your specific requirements — with proof-of-concept testing on your data before any contract commitment.

Client perspective

Internal AI platform deployed to 3,000 employees in eight months. 87% adoption at six months — that number surprised even us.

David ObiChief Digital Officer · Meridian Corporation

FAQ

How do you handle the change management challenge in enterprise AI deployments?
Adoption metrics from day one, phased rollouts with feedback loops, executive sponsor alignment, and training programs co-designed with the business users who will actually use the system.
Can you navigate enterprise procurement and security review processes?
Yes. We've completed vendor security assessments, SOC 2 evidence reviews, and information security questionnaires for Fortune 500 procurement processes. We know what they're looking for.
How do you handle data governance and AI usage policies in enterprise contexts?
We help define AI usage policies, data classification for AI inputs, employee training requirements, and audit controls — then build the technical enforcement layer for those policies.

Enterprise Ops partner

Let's scope your engagement

We've done this before. Tell us where you are and where you need to be — we'll bring the patterns that got similar companies there.

Have Questions? Let's Talk.

Free 30 minute call with a senior engineer, not a salesperson. We have got the answers to your questions.