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Agentic Transformation · Service line 1 · Agentic Digital Services

Seven capabilities. One team.

Orchestrating agentic transformations, from infrastructure modernization to governed agentic operating platforms. Agentic intelligence, AI-native software engineering, and cloud, edge, and AI infrastructure, delivered as one accountable team.

The stack we bring to every program

Picked from these capabilities, delivered as one accountable team.

Delivery Transformation

Move from waterfall to Agile squads: short sprints, cross-functional teams, continuous feedback.

Technology Architecture

Envision the digital canvas, design target capabilities, and build a roadmap for implementation.

Engineering Factories

Elastic delivery capacity through onsite, nearshore, and offshore squads with AI-agent acceleration.

Application Managed Services

Continuous engineering, monitoring, and improvement for enterprise applications and data pipelines.

Platform Operations

24/7 ITIL v4 operations across cloud, on-premise, and hybrid estates, with AI in the loop.

Platform Architecture

Cloud-first, modular 6-layer platform architecture: commerce decoupled from operations.

Data Center Modernization

Data center and cloud migration: structured methodology, DR, and pre-production environments.

One team, from strategy through live operations

No handover. No seam.

How we deliver

Most transformation programs fail in the seam between strategy and delivery: the strategy team hands off to an integrator who delivers the wrong scope, late. Our model collapses that seam. The people who design the strategy stay through engineering, and the team that builds the platform stays through operations. One accountable team, augmented by AI agents at every step, from first sprint to live run.

  1. 01

    Design

    Agent-accelerated discovery

    Senior people frame the problem and design the path, with AI agents compressing discovery, analysis, and architecture options. Assessment typically runs two to four weeks and design six to twelve, depending on scope. No handover to a system integrator.

  2. 02

    Build

    Agents build, engineers own

    AI agents generate, test, and document code under senior engineering review, and we design the handover from sprint one. A platform your team cannot operate after we leave is one we have built badly.

  3. 03

    Operate

    Agents watch, you own the run

    Agents monitor, triage, and surface fixes alongside 24/7 operations, ITIL-grade service management, SLA governance, and incident response, until your team is ready to own the run.

From waterfall to squad delivery

We transform delivery itself: how programs are structured, staffed, and governed, so technology change lands faster and with less risk.

From · Waterfall

Linear delivery

  • Linear phases
  • Delayed feedback
  • Siloed teams
To · Squads

Squad delivery

Each squad carries a product manager, an architect, UI/UX, developers, testers, and AppOps in one team, with AI agents drafting, testing, and documenting alongside.

  • Short, time-boxed sprints
  • Continuous feedback
  • Cross-functional teams
  • Adaptive planning

Technology architecture: a target architecture you can staff and budget against

We envision the digital canvas, design target capabilities, and build the roadmap for implementation, anchored in business alignment on one side and technology alignment on the other. Deliverable: a target architecture blueprint, capability gap analysis, and a phased implementation roadmap.

Business alignment

Business strategy, business priorities, regulatory requirements, and ecosystem and dependencies.

The digital canvas

Nine capability groups, five of them digital business capabilities and four cutting across them.

  • Commercial
  • Operational
  • Business
  • Enabling
  • Channel
  • Data
  • Integration
  • Platform & cloud
  • SecDevOps

Technology alignment

Current posture, target state, technology gaps, and operating model and organization.

Digital Engineering Factories

Engineering capacity that scales without changing the team: core teams for continuity, flex teams for scale, and AI agents in the loop to compress every stage. The delivery lifecycle runs Ideas, Scoping, MVP, Testing, then Scale & Run: a blended, agent-accelerated model with Agile, DevOps, and continuous process improvement anchored on ITIL.

Onsite

Client-embedded squads. Senior product managers, solution architects, and delivery managers embedded with your team for governance, alignment, and rapid decisioning.

Nearshore

Regional delivery centers. Time-zone aligned engineering squads for iteration velocity, integration engineering, and specialist skills at optimal cost.

Offshore

Agentic engineering factory. Agent-accelerated core teams for high-volume build, test, and documentation. Anchored in Vietnam with elastic capacity.

Co-Create. Co-Execute. Co-Run.

A shared-ownership model that takes an idea to a validated product, and a validated product to production, without the seams of a typical vendor handover.

Co-Create

Idea to proof of concept. Value and Design Thinking workshops frame the problem, map the customer journey, and produce a defined MVP scope, a journey and problem map, and an investment case.

Co-Execute

MVP to validated solution. Build the MVP in short iterations, validate against product-market fit, and instrument feedback loops with real users under a joint squad. Outputs: a working MVP under test, validated product-market fit, and a go-live readiness plan.

Co-Run

Validated to production. Scale the validated product or service in live operation: continuous engineering, monitoring, and improvement under SLA, with agents in the run loop and shared ownership.

Platform operations, run to ITIL v4

Run to uptime, not to ticket volume. Six capabilities covering the applications, infrastructure, and services the business depends on. The run state is engineered for national-scale uptime on a multi-zone regional architecture, with SLA governance per contract and the DR environment held to production standard. Agents watch the estate continuously and escalate by policy. Additional capabilities: agentic automation and RPA · cloud hosting migration · platform and data migration · system upgrade · security uplift.

Cloud infrastructure

  • Provisioning & resizing
  • Storage & content delivery
  • Database management
  • Backup & restore
  • Security audit & scanning

On-premise infrastructure

  • System management
  • Network management
  • Database management
  • Disaster recovery
  • Security audit & scanning

IT services

  • Desktop software support
  • User account administration
  • Email management
  • Remote remediation
  • VPN configuration

Service desk

  • IT helpdesk
  • Contact center
  • Customer service
  • Knowledge-base management
  • Multi-language support

Operation and technical support

  • Service requests & access
  • Incident & problem management
  • Change & release management
  • Performance management
  • Technical consultation

Application management

  • Application transition
  • Corrective & preventive maintenance
  • Adaptive & perfective maintenance
  • Deployment & decommissioning
  • Vulnerability testing

Platform architecture

A cloud-first, modular architecture: six platform layers over one shared set of enablers (productivity, security, identity, observability, back-office, and FinOps), with commerce decoupled from operations. Each layer evolves independently under enforced downward dependencies, so the system adapts as the business changes without rebuilding what already works.

Digital Experience PlatformConsistent, personalized customer experience across web, mobile, and in-person touchpoints
Commercial & Business PlatformSales, product lifecycle, commercial order processing, billing and credit. Driving revenue and engagement
Orchestration PlatformDecouples commerce from operations for portfolio agility, flexible integration, and billing control
Core PlatformBusiness order flow and fulfillment operations from acceptance onward
Integration & Decoupling PlatformAPI-led architecture connecting applications and data across cloud and traditional systems
Data PlatformSecure, real-time, scalable data ingestion, transformation, analytics, prediction, and delivery

Modernize the estate, then run it

Data Center Modernization

Migration and modernization that closes the gap between the estate as it stands and what a cloud-first operator needs.

  • Cloud-first baseline
  • Sequenced migration waves
  • Tested disaster recovery
  • Pre-production environments

Application Managed Services

One team from L1 triage through continuous engineering.

  • SLA-governed resolution
  • Controlled release authority
  • Six parallel environments
  • Continuous enhancement