Capabilities

Enterprise AI, Built Into How Your Business Runs

We redesign the way enterprise operates with AI at its core. From business processes and decision-making frameworks to governance, data foundations and AI, we connect strategy with engineering for sustained transformation.

Capabilities

Enterprise AI, Built Into How Your Business Runs

We redesign the way enterprise operates with AI at its core. From business processes and decision-making frameworks to governance, data foundations and AI, we connect strategy with engineering for sustained transformation.

Capabilities

Enterprise AI, Built Into How Your Business Runs

We redesign the way enterprise operates with AI at its core. From business processes and decision-making frameworks to governance, data foundations and AI, we connect strategy with engineering for sustained transformation.

$

.

T

in software spending projected for 2027, driven by AI software and infrastructure investment. (Source)

6x Faster

application processing time cut from 30 minutes to 5 with agentic AI

65% fewer

decision errors with AI-assisted decisioning

Up to 80%

lower cost per customer communication with an AI-driven contact centre

Our Enterprise AI Practice

Process and AI, Redesigned as One System

AI transformation begins with redesigning the Enterprise Operating System. We integrate intelligence into the processes and decision-making frameworks that define how an organization operates. This creates a connected foundation for AI-driven decisions and enterprise-wide transformation. 

Our Enterprise AI Practice brings together strategy, process transformation, Data & AI engineering and operations into a connected lifecycle. Every initiative is anchored to the enterprise operating model and engineered for sustained outcome rather than fragmented experimentation. 

Offerings

Technology & Partnerships

Our Enterprise AI Offerings

AI Strategy & Advisory

Chart the Course for Enterprise AI Adoption

We assess AI readiness and data maturity across your enterprise to develop a data-AI co-evolution strategy. Our advisory practice drives use-case discovery and prioritization alongside design for governance framework and assessment of enterprise architecture – resulting into a strategic roadmap connecting AI investments to business outcomes.

Process & AI Transformation

Redesign How Work Gets Done with AI at the Centre

We redesign business processes with AI that reasons, recommends, executes and escalates within defined policies. Every agent operates through Agency, Aptitude and Accountability. We help define AI-native operating models and human-AI collaboration frameworks that improve decision-making and enable governed business execution.

AI Engineering

Design the Intelligence and Integrate It into Your Enterprise

We design AI-Native enterprise systems integrated with data foundations, knowledge systems, AI agents. Our engineering practice spans data engineering and semantic knowledge graphs through to agentic AI. We integrate these capabilities into existing CRM, ERP and service management platforms to embed intelligence directly into enterprise workflows.

AI Managed Services

Govern and Continuously Improve Your AI Ecosystem

We ensure enterprise AI systems remain reliable and compliant throughout their operational lifecycle. Our managed services establish continuous governance through policy controls and performance optimization. By maintaining model accuracy, knowledge freshness and cost efficiency against business KPIs, we deliver sustained operational performance and long-term AI value.

Offering 1 of 4: AI Strategy & Advisory

How we can help

Enterprise AI on the Platforms You Already Run

Built on the platforms your teams already use

We embed autonomous agents across Sales Cloud, Service Cloud, Marketing Cloud, Financial Services Cloud and digital lending workflows. Powered by Salesforce's Atlas reasoning engine, our multi-agent systems execute, recommend and escalate proactively with policy-driven human handoffs.

We design enterprise AI architecture on Azure using Azure AI Foundry, Azure OpenAI and the Microsoft Agent Framework. Our solutions embed agentic reasoning and decision automation directly into existing enterprise workflows.

We design enterprise AI architecture on Azure using Azure AI Foundry, Azure OpenAI and the Microsoft Agent Framework. Our solutions embed agentic reasoning and decision automation directly into existing enterprise workflows.

We build enterprise AI architecture on AWS using Amazon Bedrock, Bedrock AgentCore and Bedrock Knowledge Bases to deploy production-grade autonomous agents integrated into existing enterprise environments.

We build enterprise AI architecture on AWS using Amazon Bedrock, Bedrock AgentCore and Bedrock Knowledge Bases to deploy production-grade autonomous agents integrated into existing enterprise environments.

We transform enterprise workflows into AI-powered systems spanning knowledge assistance, structured information extraction and autonomous decisioning. Our solutions use Genie for agentic analytics and Agent Bricks for domain-specific agents. Mosaic AI Agent Framework supports multi-agent orchestration while MLflow 3.0 manages the production lifecycle.

We develop production AI applications powered by Claude for complex document analysis and institutional knowledge assistance. Using Anthropic's Model Context Protocol (MCP), we enable multi-step agentic orchestration with secure connectivity to enterprise tools and data sources.

We embed autonomous agents across Sales Cloud, Service Cloud, Marketing Cloud, Financial Services Cloud and digital lending workflows. Powered by Salesforce's Atlas reasoning engine, our multi-agent systems execute, recommend and escalate proactively with policy-driven human handoffs.

We build enterprise AI architecture on AWS using Amazon Bedrock, Bedrock AgentCore and Bedrock Knowledge Bases to deploy production-grade autonomous agents integrated into existing enterprise environments.

We develop production AI applications powered by Claude for complex document analysis and institutional knowledge assistance. Using Anthropic's Model Context Protocol (MCP), we enable multi-step agentic orchestration with secure connectivity to enterprise tools and data sources.

We design enterprise AI architecture on Azure using Azure AI Foundry, Azure OpenAI and the Microsoft Agent Framework. Our solutions embed agentic reasoning and decision automation directly into existing enterprise workflows.

We transform enterprise workflows into AI-powered systems spanning knowledge assistance, structured information extraction and autonomous decisioning. Our solutions use Genie for agentic analytics and Agent Bricks for domain-specific agents. Mosaic AI Agent Framework supports multi-agent orchestration while MLflow 3.0 manages the production lifecycle.

We transform enterprise workflows into AI-powered systems spanning knowledge assistance, structured information extraction and autonomous decisioning. Our solutions use Genie for agentic analytics and Agent Bricks for domain-specific agents. Mosaic AI Agent Framework supports multi-agent orchestration while MLflow 3.0 manages the production lifecycle.

We develop production AI applications powered by Claude for complex document analysis and institutional knowledge assistance. Using Anthropic's Model Context Protocol (MCP), we enable multi-step agentic orchestration with secure connectivity to enterprise tools and data sources.

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.

Case Study

Proof from Production

  • Lending Lifecycle Automated from Intake to Disbursement

    A major Australian lender automated its lending lifecycle from application to disbursement. Over 150 checks were decomposed into deterministic rule engines and agentic decisioning. Policy-driven governance and human oversight remain embedded at critical decision points.

    Lending, Australia
  • Faster, On-Brand Support for a US Automotive Major

    AI-powered customer support automates high-volume email triage through intent, topic and brand classification. Tiered escalation combines automated response drafting with human handovers to reduce response times while maintaining service quality and brand consistency.

    Customer Operations, US
  • Invoice Validation Without the Manual Bottleneck

    End-to-end automation extracts, classifies and validates invoices against lending agreements. Policy-driven guardrails determine when human approval is required. This reduces manual bottlenecks while maintaining accuracy and compliance throughout the invoice validation process.

    Lending, Australia
  • Lending Lifecycle Automated from Intake to Disbursement

    A major Australian lender automated its lending lifecycle from application to disbursement. Over 150 checks were decomposed into deterministic rule engines and agentic decisioning. Policy-driven governance and human oversight remain embedded at critical decision points.

    Lending, Australia
  • Faster, On-Brand Support for a US Automotive Major

    AI-powered customer support automates high-volume email triage through intent, topic and brand classification. Tiered escalation combines automated response drafting with human handovers to reduce response times while maintaining service quality and brand consistency.

    Customer Operations, US
  • Invoice Validation Without the Manual Bottleneck

    End-to-end automation extracts, classifies and validates invoices against lending agreements. Policy-driven guardrails determine when human approval is required. This reduces manual bottlenecks while maintaining accuracy and compliance throughout the invoice validation process.

    Lending, Australia

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.

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.

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.

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.

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.

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.

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.

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.

Data and AI mature together

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

Accelerators that compound

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

Process first, then technology

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

Governance from day one

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

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.

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.