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01 — Intelligent operations

Put artificial intelligence to work inside the business.

We move organisations past experimentation. iBoost365 designs the strategy, builds the agents and automates the workflows that quietly carry the operational load every single day.

Abstract editorial composition of interlocking process paths and signal marks representing intelligent workflows.
The approach

Automation that respects how your business actually runs.

Most AI programmes stall because they start with a tool rather than a process. We start with the work: where handovers break, where people rekey data, where decisions wait on someone to open a spreadsheet.

From there we design intelligent workflows that sit inside your existing stack — Microsoft 365, your CRM, your service desk — so adoption feels like a natural upgrade rather than another system to learn.

What we deliver
  • 01

    AI strategy and roadmap

    Opportunity mapping, value cases, risk and governance, and a sequenced plan your board can sign off.

  • 02

    AI agents

    Task and role based agents that draft, triage, qualify, summarise and route work with human oversight.

  • 03

    Business automation

    End-to-end process automation across quoting, onboarding, servicing, reporting and compliance.

  • 04

    CRM automation

    Lifecycle journeys, lead scoring, automated follow-up and pipeline hygiene that sales teams trust.

  • 05

    Intelligent workflows

    Document understanding, classification and decision support wired into day-to-day operations.

  • 06

    Microsoft 365 and Copilot

    Tenant readiness, permissions hygiene, Copilot rollout, custom agents and secure data grounding.

  • 07

    AI adoption and training

    Role-based enablement, prompt libraries, champions programmes and measurement of real usage.

Delivery

How an engagement runs.

  1. 01

    Process discovery

    We map the workflows that consume the most time and create the most friction, then size the prize for each.

  2. 02

    Design and guardrails

    Solution design, data access model, human-in-the-loop checkpoints and the governance your risk team needs.

  3. 03

    Build and integrate

    Agents and automations built against your real systems, tested with the people who will use them.

  4. 04

    Adopt and improve

    Enablement, usage measurement and a continuous backlog so the programme compounds instead of stalling.

Outcomes

What changes as a result.

  • Hours returned to commercial and operational teams every week
  • Faster response and resolution times across customer journeys
  • Consistent, auditable process execution
  • A governed foundation for scaling further AI use cases
Common questions

The things people ask before they start.

Ask something else

No. We begin with the processes and data you already have, and we are explicit about what is and is not possible with the current foundation. Where a data gap genuinely blocks value, we scope it as its own piece of work rather than turning it into a prerequisite for everything.

Let's chat

Ready to putAI and automation to work?

Send us the shape of the problem. We will come back with a view on whether it is worth doing and what the first phase looks like.