Do you work alongside our internal teams?

Yes. We embed with your architecture, security, platform, and product teams, transfer knowledge throughout the engagement, and document everything so your teams can own and extend what we build.

How do you measure the success of a transformation engagement?

We define KPIs during the strategy phase, covering outcomes like reduced technical debt, faster release cycles, adoption rates, and business impact, then track them through delivery and review them regularly.

How long does a typical enterprise engagement take?

Timelines depend on scope, but we deliver value in phases. Foundational work and initial releases typically ship within the first few months, with modernization and AI adoption expanding from there.

What cloud platforms and technologies do you support?

We work across AWS, Azure, and GCP, with Kubernetes, infrastructure as code, and modern CI/CD. Our AI stack spans leading LLMs, RAG pipelines, agent frameworks, and robust evaluation and monitoring.

ENTERPRISE & DIGITAL TRANSFORMATION

Modernize and Adopt AI at Enterprise Scale

Grayphite partners with large organizations to modernize legacy systems and roll out AI across the business with the governance, security, and controls enterprise leaders expect. We turn fragmented digital initiatives into a coordinated transformation that delivers measurable outcomes.

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Overview

Built for Transformation at Enterprise Scale

Enterprise transformation is rarely about a single project. It spans legacy modernization, cloud migration, data consolidation, and now AI adoption, all while production systems keep running and compliance never lapses.

We embed alongside your architecture, security, and platform teams to deliver change in controlled increments. Every system we build respects your governance model, integrates with your existing stack, and ships with the audit trails and access controls your organization already depends on.

The result is modernization that compounds: each release reduces technical debt, unlocks data, and makes the next AI capability faster and safer to deploy.

Governance First

Security, compliance, and access controls designed in from day one, not bolted on later.

Legacy to AI-Ready

We modernize aging systems into clean, integration-ready foundations for AI.

Enterprise Integration

Seamless connection to your ERP, CRM, identity provider, and data platforms.

Adoption at Scale

Change management and enablement that move AI from pilot to organization-wide use.

Challenges

Enterprise Challenges We Solve

The obstacles that stall large-scale modernization and AI adoption, and how we clear them.

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Legacy Systems Slowing You Down

Aging monoliths and brittle integrations make every change slow and risky.

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Stalled AI Pilots

Promising proofs of concept never reach production or organization-wide scale.

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Governance and Compliance Gaps

AI and new systems must satisfy strict security, privacy, and regulatory requirements.

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Fragmented Data and Tooling

Siloed data across departments blocks a unified view and reliable AI outputs.

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Identity and Access Complexity

Enterprise SSO, RBAC, and audit needs are hard to retrofit onto existing apps.

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Slow, Risk-Averse Delivery

Long release cycles and change resistance delay value and frustrate stakeholders.

WHAT WE BUILD

Solutions for the Modern Enterprise

End-to-end capabilities that modernize your platform and embed AI with full governance.

Legacy Modernization

We refactor and re-platform legacy applications into modular, cloud-ready services. Modernization is sequenced to keep production stable while reducing technical debt with every release.

Enterprise AI Platforms

Governed AI systems and agents that plug into your data and workflows. We build the guardrails, evaluation, and monitoring needed to run AI safely in production.

Generative AI and LLM Integration

Secure copilots, search, and document automation built on your private data. Outputs are grounded, access-controlled, and auditable for enterprise use.

Cloud and DevOps Foundations

Scalable cloud architecture, CI/CD, and infrastructure as code. We deliver the observability and automation that make frequent, safe releases routine.

Identity, Security, and Governance

SSO, RBAC, audit logging, and policy enforcement built into every system. Compliance and access controls are first-class, not afterthoughts.

AI Adoption and Enablement

Roadmaps, change management, and team enablement that scale AI beyond pilots. We help your people adopt new tools with confidence and clear governance.

Technology

Our Enterprise Delivery Stack

Proven technologies and practices we use to modernize and scale AI in regulated environments.

AI and LLM

Large language modelsRAG pipelinesAgent frameworksVector databasesModel evaluation and monitoring

Application Engineering

TypeScript and Node.jsReact and Next.jsPythonJava and .NETMicroservices and APIs

Data and Integration

ERP and CRM integrationEvent streamingData warehouses and lakesETL and pipelinesAPI gateways

Cloud and Infrastructure

AWS, Azure, and GCPKubernetes and containersTerraform and IaCCI/CD automationObservability and monitoring

Identity and Security

SSO and SAMLOAuth and OIDCRole-based access controlAudit loggingSecrets and key management

Governance and Compliance

Policy enforcementData privacy controlsAccess reviewsRisk and audit frameworksAI usage guardrails

Process

How We Work

A structured, governed delivery model designed for enterprise scale and risk tolerance.

Discovery and Assessment

Current-state architecture review
Risk and compliance assessment
Modernization and AI opportunity map

Strategy and Roadmap

Phased transformation roadmap
Governance and security model
Success metrics and KPIs
Stakeholder alignment plan

Foundation and Integration

Cloud and CI/CD setup
Identity and access integration
Core data and system connections

Build and Deploy

Incremental releases
Automated testing and monitoring
Audit and compliance evidence
Production rollout

Adoption and Scale

Change management and training
Usage analytics and reviews
Continuous optimization
Expansion to new use cases

FAQ

Common questions, answered

How do you modernize legacy systems without disrupting our operations?+

We sequence modernization into controlled increments, often using a strangler approach that gradually replaces legacy components while production keeps running. Each release is tested, monitored, and reversible to protect business continuity.

How do you ensure AI adoption meets our governance and compliance requirements?+

Governance is designed in from the start. We build access controls, audit logging, data privacy safeguards, and usage guardrails into every system, and align delivery with your existing risk and compliance frameworks.

Can you integrate with our existing enterprise systems?+

Yes. We integrate with ERP, CRM, identity providers, data warehouses, and internal APIs, connecting new capabilities to the systems your organization already relies on.

How do you handle identity, SSO, and access control?+

We implement enterprise SSO via SAML or OIDC, role-based access control, and full audit logging. These controls are embedded in every application rather than retrofitted later.

Why do enterprise AI pilots fail to scale, and how do you prevent that?+

Pilots often stall due to missing governance, integration, and adoption planning. We address all three from day one with production-grade architecture, change management, and clear success metrics so AI moves from proof of concept to organization-wide use.

How do you keep our data secure and private when using AI?+

We ground AI on your private data within controlled environments, enforce access policies at the data layer, and avoid exposing sensitive information to unauthorized users or external services. All access is logged and auditable.

Let's talk about Enterprise & Digital Transformation Teams.

Grayphite helps enterprise and digital transformation teams modernize legacy systems and adopt AI at scale with governance, security, and compliance built in.

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