Services

AI that ships, and a workplace ready to run it

Two tightly linked pillars: agentic and generative AI engineering, and Microsoft 365 digital workplace services. Most clients start with one workflow and scale into a governed platform.

4 wks

to first pilot in production

2

tightly linked service pillars

5

delivery tracks to start from

100%

agent actions audited

Capability explorer

Five delivery tracks, one engineering standard

Pick a track to see exactly what we build, the outcomes it moves and the stack we typically run it on.

Every track can start standalone and compose into a platform.

AI Services

Agentic AI

4-6 wks

first agent in production

100%

actions audited

Multi-agent systems that plan, call your APIs and finish real work — with approval gates and audit trails on every action.

  • Autonomous agent design & multi-agent orchestration
  • Tool and API calling into ERP, CRM, ITSM and core banking
  • Human-in-the-loop approvals and escalation policy
  • Guardrails, policy enforcement and full action audit trails
  • Agent observability, evaluation harnesses and cost control
  • Long-running workflows with state, retries and compensation
typical stackAzure AI FoundryLangGraphMCP toolsKubernetesRedisOpenTelemetry governed by default
In practice

What it looks like when it's running

Live micro-views of the systems we ship: agent orchestration, grounded generation and a Copilot-ready workplace.

AI Services · 01

Agentic AI that takes action, under your control

Multi-agent systems that plan, call your APIs and complete real work — with approval gates, guardrails and full audit trails on every step.

1Intent
2Plan
3Tools
4Verify
5Act
  • Autonomous agent design & orchestration
  • Tool / API calling into core systems
  • Human-in-the-loop approvals & escalation
  • Observability, evaluation and cost control
Explore AI servicesFirst agent live in weeks
AI Services · 02

Generative AI you can trust

Assistants and RAG grounded in your knowledge, with citations, evaluation harnesses and red-teaming before rollout.

generation trace
  • RAG over docs, tickets, contracts, code
  • Copilots for employees and customers
  • Model selection, tuning, prompt engineering
  • Safety review and quality gates
Delivery

Discover → Design → Deploy → Scale

A delivery engine that turns one workflow into a governed platform, with value measured against a baseline.

01
Discover
02
Design
03
Deploy
04
Scale
Digital Workplace

Microsoft 365, made Copilot-ready

M365 is where work happens. We secure and govern the estate, roll out Copilot on clean content, then layer our agents on top of it.

Teams
SharePoint
Copilot
Purview
Intune
Power Platform
Permission-correct content · Copilot ready
  • Copilot readiness assessment & rollout
  • Teams / SharePoint information architecture
  • Entra ID, Intune and endpoint governance
  • Purview labelling, DLP and data governance
  • Tenant migration, adoption and managed support
Scope detail

The full service catalogue

Everything under each pillar, with the outcomes we hold ourselves to.

AI Services

Agentic AI & Generative AI

We build production AI — agents that take action inside your systems, and generative experiences your teams and customers actually trust.

Agentic AI

  • Autonomous agent design & multi-agent orchestration
  • Tool and API calling against core enterprise systems
  • Human-in-the-loop approval and escalation gates
  • Guardrails, policy enforcement and full audit trails
  • Agent observability, evaluation and cost control

Generative AI

  • Assistants and copilots for employees and customers
  • RAG over documents, tickets, contracts and code
  • Content, code and report generation pipelines
  • Model selection, fine-tuning and prompt engineering
  • Evaluation harnesses, red-teaming and safety review

Weeks to first agent in production, not quarters

Measured deflection, cycle-time and quality gains

Architecture that stays portable across models

Digital Workplace

Microsoft 365 & Employee Experience

M365 is where work happens. We make it secure, governed and Copilot-ready — then layer our agents on top of it.

Microsoft 365 & Copilot

  • Copilot readiness assessment and rollout
  • Teams, SharePoint and OneDrive information architecture
  • Intune device management and Entra ID identity
  • Power Platform automation and low-code apps
  • Purview data governance, DLP and sensitivity labels

Migration & Adoption

  • Tenant-to-tenant and legacy platform migration
  • Collaboration governance and lifecycle policy
  • Change management, training and champion programs
  • Modern intranet and employee self-service portals
  • Managed workplace support and continuous improvement

Copilot deployed on clean, permission-correct content

Lower licence waste and shadow-IT sprawl

Adoption you can evidence with usage telemetry

How we engage

From first workshop to enterprise scale

A four-stage model with deliverables and measured value at every gate. No multi-year programme before the first working agent.

01

Week 1-2

Discover

Use-case workshops, data and system readiness, value case against a measured baseline.

  • Prioritised use-case backlog
  • Baseline metric pack
  • Feasibility & risk view
02

Week 2-4

Design

Reference architecture, guardrail model, evaluation plan and target operating model.

  • Reference architecture
  • Guardrail & policy model
  • Evaluation plan
03

Week 4-8

Deploy

Production build in short increments, integration with core systems, pilot with real users.

  • Working agent in production
  • Integration to systems of record
  • Pilot results
04

Quarter 2+

Scale

Rollout across channels and geographies, FinOps for AI, continuous evaluation and tuning.

  • Multi-channel rollout
  • AI FinOps & cost guardrails
  • Quarterly value review
Commercial models

Start small, or hand us the run

Three ways to work with us, plus the questions every buyer asks before signing.

AI Sprint

4 weeks, fixed price

One prioritised use case taken from workshop to a working, measured pilot in production-like conditions.

Use-case workshopWorking prototypeValue case with baseline

Platform Build

8-16 weeks

Reference architecture, guardrails and the first two or three agents live against your systems of record.

Reference architectureGuardrails & audit2-3 agents in production

Managed AI & Workplace

Ongoing

We run it: evaluation, tuning, cost control, M365 governance and quarterly value reviews.

24x7 support optionsContinuous evaluationAI FinOps & reporting

Straight answers

Questions buyers actually ask

Open architecture

Plugs into the estate you already run

Clouds & models

Azure OpenAIAWS BedrockGoogle VertexAnthropicOpen weights

Data platforms

DatabricksMicrosoft FabricSnowflakePostgreSQLBigQuery

Business systems

SalesforceSAPServiceNowDynamics 365Zoho

Channels

WhatsAppTwilio / SIPTeamsZendeskWeb SDK

Workplace

Microsoft 365Entra IDPurviewIntunePower Platform

Observability

OpenTelemetryGrafanaDatadogAzure MonitorSentry

Illustrative, not exhaustive — anything with an API or event stream can be wired in.

Enterprise-Scale Deployments
Multi-Industry Experience
Open Architecture
Enterprise Grade Security
Scalable AI Platforms

Delivered for

Tata Tele ServicesTelecom
TitanRetail
Hero Future EnergiesEnergy
Bank of BarodaBanking
GMR GroupInfrastructure
Wonder FinanceFinancial Services

Prefer a productised route?

The Chatrly AI Suite packages our agentic delivery into three deployable platforms for customer experience, analytics and AI operations.

Explore Chatrly

Bring us one workflow. We'll show you the value case in four weeks.

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