Enterprise AI Practice

Enterprise AI, Built Into How Your Business Runs

We redesign processes, decisions, and governance around AI, then build and run it with you. Strategy, transformation, engineering, and managed operations in one connected practice.

Enterprise AI Practice

Enterprise AI, Built Into How Your Business Runs

We redesign processes, decisions, and governance around AI, then build and run it with you. Strategy, transformation, engineering, and managed operations in one connected practice.

Enterprise AI Practice

Enterprise AI, Built Into How Your Business Runs

We redesign processes, decisions, and governance around AI, then build and run it with you. Strategy, transformation, engineering, and managed operations in one connected practice.

$

.

T

in software spending is projected for 2025, driven by AI and generative technologies. (Source)

15%

of day-to-day work decisions will be made autonomously through agentic AI by 2028. (Source)

40%

of CIOs will require “Guardian Agents” to autonomously track and oversee AI actions by 2028. (Source)

30%

of knowledge workers will rely on technologies like BBMIs to stay relevant with AI in the workplace by 2030. (Source)

Our Enterprise AI Practice

Process and AI, Redesigned as One System

AI creates value when it changes how work gets done, not when it sits beside it. Your Enterprise Operating System is the set of processes, decision rules, governance, data, roles, and metrics that define how the business runs. AI changes all six, so we redesign them together.

Strategy, process transformation, engineering, and managed operations run as one connected lifecycle. Every initiative stays tied to your operating model and is built for production, not experimentation.

Offerings

Our Enterprise AI Offerings

AI Strategy & Advisory

Process & AI Transformation

AI Engineering

AI Managed Services

Chart the Course for Enterprise AI Adoption

We assess AI readiness and data maturity, then build a plan that advances both together. You get prioritized use cases, a governance framework, an architecture assessment, and a roadmap tied to business outcomes.

Offerings

Our Enterprise AI Offerings

AI Strategy & Advisory

Process & AI Transformation

AI Engineering

AI Managed Services

Chart the Course for Enterprise AI Adoption

We assess AI readiness and data maturity, then build a plan that advances both together. You get prioritized use cases, a governance framework, an architecture assessment, and a roadmap tied to business outcomes.

Offerings

Our Enterprise AI Offerings

AI Strategy & Advisory

Process & AI Transformation

AI Engineering

AI Managed Services

Chart the Course for Enterprise AI Adoption

We assess AI readiness and data maturity, then build a plan that advances both together. You get prioritized use cases, a governance framework, an architecture assessment, and a roadmap tied to business outcomes.

How we can help

Enterprise AI on the Platforms You Already Run

Built on the platforms your teams already use

Talk to our Enterprise AI team

Talk to our Enterprise AI team

Autonomous agents inside Salesforce

We embed agents across Sales Cloud, Service Cloud, Marketing Cloud, Financial Services Cloud, and digital lending. Built on Atlas, Salesforce's reasoning engine, they act within your processes and hand off to people under defined policy.

Agentic AI on Azure

Agentic reasoning and decision automation in your existing workflows, using Azure AI Foundry, Azure OpenAI, and the Microsoft Agent Framework.

Claude for documents, reasoning, and knowledge

We turn documents, reasoning-heavy workflows, and institutional knowledge into production applications powered by Claude. With the Model Context Protocol (MCP), Anthropic's open standard, agents can discover, access, and act across your tools and data.

AI systems on your enterprise data

We turn complex workflows into AI systems, from knowledge assistance and information extraction to autonomous decisioning and agentic analytics with Genie. We build domain agents with Agent Bricks, orchestrate them with Mosaic AI Agent Framework, and manage production with MLflow 3.0. Link: "See Databricks capabilities".

Production agents on AWS

Production-grade autonomous agents inside your environment, using Amazon Bedrock, Bedrock AgentCore, and Bedrock Knowledge Bases.

Autonomous agents inside Salesforce

We embed agents across Sales Cloud, Service Cloud, Marketing Cloud, Financial Services Cloud, and digital lending. Built on Atlas, Salesforce's reasoning engine, they act within your processes and hand off to people under defined policy.

Claude for documents, reasoning, and knowledge

We turn documents, reasoning-heavy workflows, and institutional knowledge into production applications powered by Claude. With the Model Context Protocol (MCP), Anthropic's open standard, agents can discover, access, and act across your tools and data.

Production agents on AWS

Production-grade autonomous agents inside your environment, using Amazon Bedrock, Bedrock AgentCore, and Bedrock Knowledge Bases.

Agentic AI on Azure

Agentic reasoning and decision automation in your existing workflows, using Azure AI Foundry, Azure OpenAI, and the Microsoft Agent Framework.

AI systems on your enterprise data

We turn complex workflows into AI systems, from knowledge assistance and information extraction to autonomous decisioning and agentic analytics with Genie. We build domain agents with Agent Bricks, orchestrate them with Mosaic AI Agent Framework, and manage production with MLflow 3.0. Link: "See Databricks capabilities".

AI systems on your enterprise data

We turn complex workflows into AI systems, from knowledge assistance and information extraction to autonomous decisioning and agentic analytics with Genie. We build domain agents with Agent Bricks, orchestrate them with Mosaic AI Agent Framework, and manage production with MLflow 3.0. Link: "See Databricks capabilities".

Claude for documents, reasoning, and knowledge

We turn documents, reasoning-heavy workflows, and institutional knowledge into production applications powered by Claude. With the Model Context Protocol (MCP), Anthropic's open standard, agents can discover, access, and act across your tools and data.

Industry Solutions

Solutions Built for Lending, Customer Operations, and Compliance

Automate the lending lifecycle, with people at the decisions that matter

Regulatory compliance, automated from policy assessment and evidence validation through to regulatory impact assessment. Governed regulatory knowledge and agentic AI determine which requirements apply, assess policies and controls, identify gaps, validate evidence and maintain end-to-end traceability - so audit season stops being a fire drill.

AI resolves; people handle exceptions

Regulatory compliance, automated from policy assessment and evidence validation through to regulatory impact assessment. Governed regulatory knowledge and agentic AI determine which requirements apply, assess policies and controls, identify gaps, validate evidence and maintain end-to-end traceability - so audit season stops being a fire drill.

Make institutional knowledge usable by people and AI

Regulatory compliance, automated from policy assessment and evidence validation through to regulatory impact assessment. Governed regulatory knowledge and agentic AI determine which requirements apply, assess policies and controls, identify gaps, validate evidence and maintain end-to-end traceability - so audit season stops being a fire drill.

Technology & Partnerships

Technology-Agnostic by Design

We choose technology to fit your cloud ecosystem, governance requirements, and existing systems, across leading AI platforms, cloud providers, data infrastructure, and integration ecosystems. Your CRM, ERP, service management, integration and API ecosystems, and cloud infrastructure stay in place. We build the intelligence layer and connect the two.

What we build

The Intelligence Layer

  • AI agents
  • Knowledge System
  • Data Foundations

What stays

Your Existing Enterprise Stack

  • CRM
  • ERP
  • Service Management
  • Integration & API ecosystems
  • Cloud infrastructure

Work with us

Why Partner with Us

Anchored to your operating model

Every engagement starts from six dimensions of how you work, decide, and deliver, because AI changes the operating logic, not just the tools.

Process first, then technology

We start with the process and decision framework. The platform follows the redesign.

Data and AI mature together

A diagnostic framework assesses both, so AI is built on foundations that can support it.

Governance from day one

Compliance, risk controls, and human oversight are designed into every layer, from advisory to managed services.

Accelerators that compound

Proprietary frameworks and toolkits, from readiness assessment to production governance. Reusable IP that sharpens with each engagement.

One team, for the long term

Persistent, integrated teams where CK and your people work as one. Knowledge compounds, the AI portfolio grows, and deployed solutions keep evolving with the business.

Case Study

Proof from Production

  • Lending lifecycle automated from intake to disbursement

    A major Australian lender automated loan intake end to end. Over 150 checks are split between a deterministic rules engine and agentic decisioning, with policy-driven governance and human review at critical decision points.

    Lending, Australia

  • Faster, on-brand support for a US automotive major

    Tiered AI support for high-volume email: triage by intent, topic, and brand, drafted responses, and human handover. Response time falls while quality and brand consistency hold.

    Customer operations, US

  • Invoice validation without the manual bottleneck

    Invoices are extracted, classified, and validated against lending agreements end to end. Policy-driven guardrails decide when a person approves.

    Lending, Australia

  • Lending Analytics for a Major APAC Lender

    Manual, spreadsheet-driven reporting, replaced with a centralized lending data and analytics platform on Databricks - trusted historical data, automated KPIs and scalable analytics behind cash-flow visibility and standardized portfolio metrics.

    90%+ faster regulatory assessments
    60–75% reduction

    in manual compliance effort

  • Collections Analytics for a Major APAC Lender

    Loan, repayment, arrears and collections activity, unified into one governed data foundation - giving servicing and collections teams a single view of portfolio and delinquency trends, roll-rate and aging analysis, collector performance and promise-to-pay tracking.

    Faster identification of deteriorating accounts
    Reduced manual collections reporting

  • AI-Powered Regulatory Compliance for a US Financial Services Provider

    Interpretive, fragmented regulatory information, turned into structured compliance intelligence through a modular multi-agent architecture - built on Databricks Apps, Agent Bricks, Vector Search, Unity Catalog, Delta Lake, Lakeflow and MLflow - that scopes regulations, assesses policies and controls, and validates evidence with human oversight.

    3–5× faster reporting
    50–70% Reduction

    in manual reporting and validation effort

Insights

Insights and Perspectives

Our thinking on Enterprise AI: where it is heading and what it takes to get there.

View all insights

Databricks

The Blueprint of Modern Insurance 

Read more

Databricks

Agentic Commerce in 2026: When the Customer is a Moving Target

Read more

Databricks

The Agentforce Decision Most Leaders Will Underestimate 

Read more

Databricks

The Blueprint of Modern Insurance 

Read more

Databricks

Agentic Commerce in 2026: When the Customer is a Moving Target

Read more

contact us today

Talk to our Enterprise AI team

Whether you're mapping your first use cases or moving AI from pilot to production, we'll start from how your business actually runs.

Get in Touch

Get in Touch