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Solutions

Three Platforms. One Strategy. Your Stack.

We evaluate Copilot, Claude, and Gemini against your specific environment — then deploy the AI that fits, not the one that’s trending.

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Platform comparison

Enterprise AI platform comparison

Each platform has a genuine sweet spot. Deploying the wrong one is the most expensive mistake in enterprise AI.

Best for Microsoft 365 Ecosystems

Microsoft Copilot for Work

Organisations already invested in Microsoft 365, Azure AD, and SharePoint gain enterprise-grade compliance alongside AI that lives where their people already work.

  • Automated meeting summaries and action items in Teams
  • AI-assisted drafting in Word, Outlook, and PowerPoint
  • Data analysis and report generation via Copilot in Excel
  • Cross-app workflow automation with Power Automate
  • SharePoint knowledge retrieval and document intelligence
  • Dynamics 365 CRM & ERP process acceleration
Best for Complex Reasoning & Document-Heavy Workflows

Claude by Anthropic

Organisations in legal, finance, insurance, pharma, or consulting requiring deep analytical capability over long, unstructured documents.

  • Deep document analysis: contracts, reports, RFPs, policies
  • Multi-step reasoning for compliance and risk assessments
  • Knowledge base Q&A with source attribution
  • Structured data extraction from unstructured documents
  • Custom AI agents for complex workflow orchestration
  • API-first integration for bespoke enterprise platforms
Best for Google Workspace Organisations

Gemini for Google Workspace

Teams natively on Google Workspace seeking AI that integrates seamlessly across the tools they already run their day on.

  • AI writing assistance across Google Docs and Gmail
  • Automated data insights in Google Sheets
  • Meeting notes and action tracking in Google Meet
  • Intelligent search across Drive and Workspace content
  • Duet AI for application development acceleration
  • BigQuery and Looker integration for data teams
How we decide

The selection criteria we apply

Existing technology stack

Where your documents, identity, and collaboration already live is the single strongest predictor of adoption.

Data governance requirements

Residency, retention, audit trails and regulator expectations narrow the field before capability does.

Workflow complexity

Short assistive tasks and long multi-step reasoning over dense documents call for different engines.

Cost and licence footprint

Per-seat platform licensing versus API consumption changes the economics entirely at enterprise scale.

Adoption readiness

The best platform is the one your people will actually open on a Monday morning.

Long-term flexibility

We architect integrations so a platform change later is a migration, not a rebuild.

Also delivered

Automation beyond the platform

Platform licences alone don’t change a workflow. These are the layers we build on top.

Documents moving through a stepped processing tray

Intelligent Process Automation

Document processing, approvals, reporting, scheduling and operations — reducing manual effort by up to 60%.

A branching path with one decision point lit

Custom AI Agents

Multi-step agents that orchestrate work across your systems, with human checkpoints where they matter.

A single folder drawn from a dense archive shelf

Knowledge Retrieval

Grounded Q&A across your policies, contracts and internal documentation, with source attribution.

Delivery framework

Four stages, clearly bounded

Every stage has defined inputs, outputs and a decision point — so stakeholders always know what happens next.

01

Discover & Assess

Deep-dive workshops with stakeholders to map workflows, identify pain points, and surface the highest-ROI automation opportunities.

02

Design & Plan

We architect your AI solution — platform selection, integration design, governance framework, and a phased rollout plan with clear success metrics.

03

Deploy & Integrate

Agile implementation with pilot groups, security validation, and iterative refinement before full-scale rollout — ensuring stability and user confidence.

04

Optimise & Scale

Post-deployment analytics, usage coaching, and continuous improvement cycles to expand adoption and identify new automation opportunities.

Workshop mapping enterprise workflows
Discovery, in practice

We start in your workflows, not in a demo

Deep-dive workshops with the people who actually run the process. We map the handoffs, the waiting, the rework and the manual re-keying — then rank opportunities by value and feasibility.

  • Stakeholder interviews across business and IT
  • Workflow and data-flow mapping
  • Technology and licence landscape review
  • Prioritised opportunity backlog with ROI estimates
  • Agreed success metrics before a single line of config
Principles

What guides every engagement

Security is a precondition

Enterprise-grade protocols and your existing data governance respected throughout, with the documentation your infosec team needs to sign off.

Outcomes over deliverables

Agreed metrics at kickoff. We report against your business outcomes, not a list of completed tickets.

Adoption is the real deployment

Role-specific enablement so teams learn to think in workflows, not just use a tool.

Knowledge transfer by default

We work alongside your IT, DevOps and security teams so you can run the solution independently.

Phased, reversible rollout

Pilot groups and security validation before full-scale release — stability and user confidence first.

Vendor neutrality

We recommend what’s best for you, not what earns us the highest margin.

Typical timeline

What eight to sixteen weeks looks like

Pilot programmes can launch within 4–6 weeks; full deployment usually runs 8–16 weeks depending on size and scope.

WEEKS 1–3

Discovery

Workshops, mapping, opportunity backlog, agreed success metrics.

WEEKS 3–6

Design

Platform decision, integration architecture, governance framework, rollout plan.

WEEKS 5–12

Pilot & deploy

Pilot group build, security validation, iteration, phased rollout.

WEEK 12+

Optimise

Usage analytics, coaching, quarterly reviews, next automation wave.

Which platform fits your organisation?

Thirty minutes on a call is usually enough for us to give you a defensible answer — and we have no margin incentive either way.

Schedule a Discovery Call info@adibeam.com