New

Delivery intelligence for complex projects

Get decision-grade info to leaders, faster.

Our Services

Workflow optimisation, process automation and technology

We optimise the path from delivery data to decisions

Workflow

Automation

  • Cost Data

    Processing

  • Resource Capacity

    Done

  • Schedule Data

    Integrity Issues Detected

  • Performance Analysis

    Pending

  • Monthly Report

    Available

Workflow

Automation

  • Cost Data

    Processing

  • Resource Capacity

    Done

  • Schedule Data

    Integrity Issues Detected

  • Performance Analysis

    Pending

  • Monthly Report

    Available

Workflow

Automation

  • Cost Data

    Processing

  • Resource Capacity

    Done

  • Schedule Data

    Integrity Issues Detected

  • Performance Analysis

    Pending

  • Monthly Report

    Available

Tighten Operating Rhythms

Workflow design

Eliminate repetitive, manual and time-consuming tasks collecting and aggregating project data inputs, analysing what changed and what matters, and producing exec-ready reporting.

Data Inputs

Performance Analysis

Reporting Outputs

Save Time

Automation

We have a library of automations ready to deploy, plus the ability to rapidly design new ones for you. From automatic tooling reconciliations, to generative reporting systems.

Data Cleansing

Data Reconciliation

RAID Updates

Reports

What can I help with?

Monitor, analyse, report, automate

|

Attach XER

Analyze

Ask

Report

What can I help with?

Monitor, analyse, report, automate

|

Attach XER

Analyze

Ask

Report

What can I help with?

Monitor, analyse, report, automate

|

Attach XER

Analyze

Ask

Analysing Performance

Schedule

Cost

Scope

Data Inputs

Analysis

Outputs

Analysing Performance

Schedule

Cost

Scope

Data Inputs

Analysis

Outputs

Analysing Performance

Schedule

Cost

Scope

Data Inputs

Analysis

Outputs

Earlier Interventions

Advanced Analytics

Spot delivery risk earlier with leading indicators aligned to Project Controls best practice and tuned to your KPIs and delivery reality.

Performance Metrics

Risk Metrics

Trend Analysis

Project Intelligence

Knowledge System

Ontological reasoning layer learns from your past performance and understands real-time project data to unlock game-changing agentic applications to improve delivery.

Lessons Learned

Advanced Reasoning

Agentic Workflows

Agentic Orchestrator

Deploy performance agents

Current Selection

Schedule Agent

Live

Schedule

Mo

Tu

We

Th

Fr

Sa

Su

Grid Connection

High successor load

Pressure test

Critical path, monitor

Agentic Orchestrator

Deploy performance agents

Current Selection

Schedule Agent

Live

Schedule

Mo

Tu

We

Th

Fr

Sa

Su

Grid Connection

High successor load

Pressure test

Critical path, monitor

Agentic Orchestrator

Deploy performance agents

Current Selection

Schedule Agent

Live

Schedule

Mo

Tu

We

Th

Fr

Sa

Su

Grid Connection

High successor load

Pressure test

Critical path, monitor

Our Process

Low touch, fast delivery, outcome backed

Fixed-fee, fixed scope, 8-week sprint

Step 1

Diagnose and baseline

We pinpoint the business problem, baseline the current process (effort-level / failure modes), and identify the improvements that will deliver the greatest value.

Analysing current workflow..

System check

Process check

Speed check

Manual work

Repetitive task

Analysing current workflow..

System check

Process check

Speed check

Manual work

Repetitive task

Step 2

Design and prove value

We optimise workflows and controls, build automations, and run the improvements with minimal disruption to prove value.

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

Step 3

Operationalise

We make it reliable in BAU: harden edge-cases, tune outputs with real usage, and confirm the operating model.

Project Intelligence

Leadership

Project Intelligence

Leadership

Step 4

Run, or build/deploy

We build the business case to solve pain for the long-term. We either run the improvements as a managed service, or package the tech as an internal capability.

Building business case

Efficiency will increase by 20%

Releasing upgrades

Update available

Reporting cycle

Up to date

Building business case

Efficiency will increase by 20%

Releasing upgrades

Update available

Reporting cycle

Up to date

Benefits

What our clients have
seen in just 8 weeks

Reduce project risk, slippage and cost-inflation.

Reduced Slippage

Keep projects on track for schedule by spotting emerging time risks sooner

Reduced Slippage

Keep projects on track for schedule by spotting emerging time risks sooner

Reduced Slippage

Keep projects on track for schedule by spotting emerging time risks sooner

Reduced Cost-overrun

Avoid cost-shocks relating to unseen schedule or scope creep

Reduced Cost-overrun

Avoid cost-shocks relating to unseen schedule or scope creep

Reduced Cost-overrun

Avoid cost-shocks relating to unseen schedule or scope creep

Better Decisions

Take decisions on fresh, trusted data with trade-offs and impact assessment

Better Decisions

Take decisions on fresh, trusted data with trade-offs and impact assessment

Better Decisions

Take decisions on fresh, trusted data with trade-offs and impact assessment

Less Manual Work

Remove repetitive data reconciliation and reporting tasks

Less Manual Work

Remove repetitive data reconciliation and reporting tasks

Less Manual Work

Remove repetitive data reconciliation and reporting tasks

Connected Delivery

Break down delivery siloes by triangulating domains like schedule and cost

Connected Delivery

Break down delivery siloes by triangulating domains like schedule and cost

Connected Delivery

Break down delivery siloes by triangulating domains like schedule and cost

Portfolio Visibility

The golden thread from strategy through execution, with always-on portfolio roll-ups

Portfolio Visibility

The golden thread from strategy through execution, with always-on portfolio roll-ups

Portfolio Visibility

The golden thread from strategy through execution, with always-on portfolio roll-ups

Top Questions

FAQs

Are you selling a product, or consultancy services?

If you’re a tech consultancy, how are you different from the crowd?

Does it matter that our data and processes are a bit ‘messy’

How much data and team time do you need to prove value?

Are you selling a product, or consultancy services?

If you’re a tech consultancy, how are you different from the crowd?

Does it matter that our data and processes are a bit ‘messy’

How much data and team time do you need to prove value?

Get started today

Speak to M-1's delivery strategists

M-1

M-1 - Delivery intelligence for complex projects

M-1

M-1 - Delivery intelligence for complex projects

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© All right reserved