Intelligent Evolution · Responsible AI on Microsoft 365

AI-driven business transformation, governed end-to-end

SHIFT deploys Responsible AI and Next-Gen Enterprise Project Management on the Microsoft cloud you already use — grounded in your data, auditable by design, adopted by your people.

Efficiency20–30%

uplift from AI-assisted automation across delivery

Decisions2–4×

faster with grounded copilots and live dashboards

Governance100%

auditable AI — EU AI Act-ready, end-to-end

Track record200+

projects delivered on our PPM stack since 2017, AI agents since 2024

What we do

Two complementary strategies

A consulting firm with 20+ years in project and portfolio management — now pairing that delivery depth with responsible, production-grade AI.

Strategy 01

Responsible AI-Driven Automation

Comprehensive guidance on maximising AI advantage through a holistic method that tackles privacy, risk and security head-on — while establishing best practices and requalifying your people.

  • AI TRiSM: trust, risk & information security aligned with the EU AI Act
  • Specialised agents on grounded RAG over your enterprise content
  • PROSCI-certified change, training and continuous requalification
Strategy 02

Next-Gen Enterprise Project Management

A cutting-edge PPM practice staffed by experts with more than 20 years of experience — extended with 11 on-demand AI agents that plan, track, govern and report.

  • Agentic WBS, costs, risks, lessons learned and portfolio prioritisation
  • An autonomous coaching agent that develops PMs in the flow of work
  • Automated reporting, change control and audit — all on Microsoft 365

Why SHIFT · Business value

Outcomes that move the business

Measurable value across every function in the organisation — on one platform, under one governance model.

Executive & Strategy

Evidence, not opinion

Faster, better-evidenced decisions with portfolio-level visibility and AI-assisted scenarios.

PMO & Delivery

More delivery, less admin

AI agents draft plans, risks, reports and timesheets — PMs deliver more, with less admin.

Finance & Performance

Variance explained

Budgeting, forecasting and KPI commentary auto-generated; variance explained, not just flagged.

Operations & HQSSE

Field to dashboard, live

Conversational field capture, automated routing and live dashboards for safety and quality.

IT & Data

Governed by design

Continuous data-quality AI, governed RAG and Purview-enforced security on Microsoft 365.

People & Change

Adoption that sticks

PROSCI-certified change, AI coaching agents and continuous requalification to sustain adoption.

ONE platform · 11 agents · governed end-to-end

Our integrated approach

Three pillars for responsible, sustainable AI

Proven SHIFT practice — every engagement is guided by all three, at every step.

PILLAR 01

AI TRiSM

Trust, Risk & Information Security

Governance and policies, risk management, security and privacy aligned with the EU AI Act. End-to-end data security, transparent governance of AI decisions and full auditability of automated processes.

PILLAR 02

AI Agents

Architecture & RAG

Specialised agents on a responsible AI architecture: grounded RAG over enterprise content, Microsoft 365 Copilot integration and a library of pre-developed agents that shorten deployment.

PILLAR 03

People & Change

Training, Adoption & Requalification

Organisational change management, AI training and capacity building. PROSCI-certified consultants guide leaders, users and roles through awareness, adoption and ongoing requalification.

SHIFT AI scenarios

Eight ready-to-deploy AI scenarios

Each built on responsible-AI guardrails and your existing Microsoft 365 estate — deployable on the same platform and governance model.

01

Process Automation

Rules-based work automated end-to-end, human-in-the-loop on exceptions

Challenge

Repetitive approvals, data entry and document routing tie up skilled staff and introduce delay and error.

AI solution

Power Automate flows and Copilot agents automate intake, routing, approvals and notifications end-to-end, with a human-in-the-loop on exceptions.

Outcome

Shorter cycle times, higher throughput and a full audit trail — staff redeployed to judgement work.

02

AI-Assisted Enterprise PPM

Agentic WBS, risks and portfolio prioritisation — PMs validate

Challenge

PMs spend more time updating status, building WBS and reformatting reports than managing delivery; intake and prioritisation are inconsistent.

AI solution

Agentic assistants draft WBS, costs, risks and lessons learned, keep schedules and RAID current, generate status reports, and score and rank initiatives across the portfolio — the PM and PMO validate.

Outcome

Always-current project data, structured business cases, objective portfolio prioritisation and faster, evidence-based decisions.

03

Enterprise Data Quality

Continuous AI profiling, steward remediation, live DQ scorecards

Challenge

Decisions and AI outputs are only as good as the data; duplicates, gaps and stale records erode trust and compliance.

AI solution

Continuous AI-assisted profiling across completeness, accuracy, consistency, timeliness, uniqueness and validity, with steward remediation and Power BI scorecards.

Outcome

A trusted single source of truth, measurable data-quality KPIs, AI-ready data and lower regulatory risk.

04

Enterprise Performance Management

AI-drafted budgets, forecasts and narrative KPI commentary

Challenge

Budgeting and forecasting cycles are long and manual; variance analysis arrives too late to act on.

AI solution

Planning agents draft budgets and rolling forecasts from drivers, reconcile actuals, detect variances and generate narrative commentary for review.

Outcome

Faster planning cycles, more accurate forecasts, transparent KPIs and management focus on decisions instead of data wrangling.

05

Coaching, Mentoring & Monitoring

An AI coach in the flow of work — guidance suggested, decisions human

Challenge

PM and team maturity is uneven; coaching is hard to scale and skill development is inconsistent across the organisation.

AI solution

An autonomous coach agent observes meetings, mail and project artefacts, gives constructive in-context feedback and recommends targeted learning — flagging incoherence and missed follow-ups before they escalate.

Outcome

Faster PM and team growth, consistent practice and a stronger delivery culture — guidance is suggested, decisions stay human.

06

HQSSE

Conversational field capture, auto-classification, predictive trends

Challenge

Health, quality, safety, security and environment reporting is manual and lagging; incidents are under-reported and trends spotted too late.

AI solution

Conversational voice or chat capture in the field; AI structures and classifies severity, routes corrective actions and surfaces predictive trend dashboards.

Outcome

Higher reporting rates, faster corrective action, leading indicators and a stronger safety and compliance culture.

07

Knowledge & Document Intelligence

Semantic search, auto-summary and governed tagging with cited answers

Challenge

Documents are scattered across systems; finding and summarising the right version is slow and tribal knowledge leaves with people.

AI solution

AI over SharePoint and Dataverse provides semantic search, auto-summary and governed metadata tagging, with retention via Microsoft Purview and cited answers.

Outcome

Answers in minutes rather than hours, governed content and preserved institutional memory.

08

Revenue & Contract Optimization

ML on market and production signals to maximise margin

Challenge

Commercial decisions rely on stale forecasts and gut feel; production, shipping and contract terms are rarely optimised together against live market signals.

AI solution

Advanced ML blends market context, contract data and production telemetry to forecast demand and price — recommending when to increase production and shipping to maximise margin and service.

Outcome

Higher margin, fewer missed market windows, optimised contracts and a tighter link between commercial planning and operations.

How we implement

A structured, iterative methodology

Aligned with Responsible AI — and guided by our three pillars at every step.

1

Assess

Map business processes, identify automation opportunities, define success criteria.

2

Design

Architect agent workflows, define guardrails, establish governance.

3

Build & Test

Develop agents in a controlled sandbox, validate against the TRiSM framework.

4

Deploy

Roll out with human-in-the-loop oversight and track KPIs.

5

Optimize

Continuous improvement; expand agent capabilities; refine policies.

AI TRiSMTrust, Risk & Security
AI AgentsArchitecture & RAG
People & ChangeTraining & Adoption

Reference architecture

Built on the platforms you already use

One Microsoft cloud, an agentic layer and governance — local datacenters and integrated security included.

Experience
TeamsPower AppsPower PagesPower BI
Orchestration
Copilot StudioPower Automate
AI & Models
Azure AI FoundryFoundation modelsGuardrails
Grounding (RAG)
SharePoint OnlineDataverseExternal systems
Security & Governance
Microsoft PurviewEntra IDEU AI Act controls

No data leaves your tenant. Zero leakage to public models — encryption in transit and at rest, role-based access, and every prompt, source and output logged for review.

Product · Next-Gen PPM

AI for the whole delivery lifecycle

A modern PPM platform on Microsoft 365 — extended with 11 on-demand AI agents, plus an autonomous coaching agent that develops PMs and safeguards compliance and risk.

Plan with AI

Project plans, sprints, risk registers and resource allocations drafted in minutes.

Deliver with AI

AI coaches PMs on schedule, scope and risk; agents track progress, timesheets and issues.

Govern with AI

Automated reporting, change control and audit — all on Microsoft 365.

Coach with AI

Autonomous agents act as on-demand mentors — guiding less-experienced PMs on planning, risk and stakeholder management in-flow.

Eleven purpose-built agents

Covering the full PM workflow — grounded in your project data, governed end-to-end.

Plan & Estimate

  1. Build project plans
  2. Identify and qualify risks
  3. Create agile sprint plans
  4. Resource allocation

Execute & Track

  1. Easy progress updating
  2. Assistant for filling timesheets
  3. Help with risk & issue tracking
  4. Manage risks, issues, lessons learned & change requests

Collaborate & Capture

  1. Capture meeting notes
  2. Support scheduling meetings
  3. Convert notes into requirements

How the agents work

A grounded, governed loop

STEP 1

Ground

Project data, schedules, risks, timesheets and policies from M365 retrieved via RAG.

STEP 2

Reason

The agent plans steps and calls tools — Project, Power BI, Teams — under role-based permissions.

STEP 3

Act

Writes back updates, drafts plans, files risks and books meetings — with a human-in-the-loop.

STEP 4

Observe

Outcomes logged for audit, feedback and continuous improvement of the agent's policies.

Grounded in your data — M365 Graph, Project, Dataverse; no external training Human in the loop — every consequential action confirmed by a PM or PMO Auditable end-to-end — prompts, actions and outcomes logged for review

Trusted by

Some of our clients

ADQ logo
Abu Dhabi Airports logo
Al-Futtaim Group logo
First Abu Dhabi Bank logo
Masdar logo
Etihad Airways logo
P&G logo
Carrefour logo
VINCI Airports logo
Körber logo
GAC logo
Daman logo
SBM — Saudi Business Machines logo
Boehringer Ingelheim logo
Luz Saúde logo
Câmara Municipal de Lisboa logo
Strata logo
Ascenza logo
Bondalti logo
NNPC logo
Attijariwafa Bank logo

Start here

Put responsible AI to work in your organisation

Book a discovery workshop: we'll map your processes, identify the highest-value AI scenarios and show you what governed automation looks like on your own Microsoft 365 estate.

Book a discovery workshop

or write to us at info@shift-global.com

Aligned with EU AI Act · GDPR · National frameworks