Engineering & Operations

Custom Engineering CRM with AI Outreach for the Meridian Engineering Team

Invalid Date·Meridian Team (name changed for privacy purposes)

Built a fully customized engineering CRM for an engineering team to manage projects, tasks, clients, and outreach, with an AI layer that drafts follow-ups, flags at-risk relationships, and saves over 11 hours a week per engineer.

Tech Stack

NotionAI AutomationCRM Development

Key Outcomes

  • Unified projects, tasks, clients, and outreach into a single workspace
  • Raised outreach reply rate
  • 11.4 hours saved every week per engineer through the Ai implementation
  • Increased pipeline revenue influenced by AI outreach sequences
  • 83% team utilisation tracked in real time across 5 engineers

Case Study 3: Meridian Team (UK Engineering)

The Challenge

The Meridian engineering team was growing fast but their tools weren't keeping up. Project progress was scattered, client relationships were managed manually, and outreach to prospects and existing clients consumed time that should have gone into engineering work.

They needed a single structured system, one that could keep the team aligned on every active project, track client relationships intelligently, and take the repetitive side of client communication off their plate entirely.

Our Solution

We built a fully customized engineering CRM under the Meridian brand, designed around how the team actually works. Every module connects to the others, a task links to its project, a project links to its client, and the AI outreach layer knows the full context before drafting a single word.

The system opens with a personal home dashboard that gives each team member an instant read on the day.

Dashboard - daily briefing with project count, open tasks, reply rate, and live KPIs

The dashboard surfaces what matters immediately: active projects, open tasks, the reply rate, billable hours against plan, pipeline value, invoiced revenue month-to-date, and team utilisation, all updated in real time. The Outreach Copilot banner flags drafts waiting for review before anything goes out.

The system is built around seven core modules:

  • Projects : Full pipeline visibility from scoping through to client review, in a kanban board with risk flags and AI-suggested nudges
  • Tasks : Every task across every project in one list, grouped by due date, filterable by project, priority, or assignee
  • Clients : All client companies tracked with LTV, active projects, last contact, and AI dormancy alerts
  • Inbox : Every message linked to its project and client, AI pre-summarised so nothing needs to be read twice
  • Outreach : AI-drafted sequences and nudges, queued for your review before sending, nothing goes out automatically
  • Reports : Revenue, utilisation, pipeline health, and AI impact tracked by quarter and exportable as PDF
  • Team : Five engineers with real-time utilisation, open task count, and weekly hours, workload visible at a glance

Projects : The board moves cards from Scoping → Design → Build & Analyse → Client Review, with at-risk flags and AI-suggested actions attached directly to stalled projects.

Projects - kanban board across four stages with risk flags and AI nudge suggestions

Tasks : Every task is tied to its project and assignee, with priority levels and time estimates so the team always knows what to work on first.

Tasks — 47 open tasks grouped by due date with priority, project link, and assignee

Clients : The AI flags dormant accounts, engagement spikes, and sequence opportunities automatically, so no relationship goes cold without the team knowing.

Clients - 38 companies with LTV, project count, last contact, and AI health status

Inbox : all the messages, each pre-summarised by the AI with the key ask, the relevant project, and a suggested reply. Every thread is linked to its client and active sequence, so triage takes seconds rather than minutes.

Inbox - AI pre-summarised messages linked to projects, clients, and outreach sequences

Outreach : The AI drafts nudges, warm-ups, and close-out messages grounded in each project's current state and the client's conversation history. Nothing generic, nothing sent without approval.

Outreach - AI-drafted queue with 38.2% reply rate, 7 meetings booked, and £184k pipeline influenced

Reports : full report about every financial aspect needed, categoized by sector.

Reports - Q2 financials: £486k invoiced, 83% utilisation, £412k pipeline, revenue by sector

Team : all the engineers tracked by utilisation, open tasks, and weekly hours. The AI monitors burn-out risk from sustained over-100% utilisation and flags it before it becomes a problem.

Team - 5 engineers with live utilisation, open task count, and weekly hours

Outcome

Meridian Team now operates from a single system that connects every project, client, task, and message. Their outreach runs with AI precision, contextual, timely, and always reviewed before sending. The team spends less time on coordination and communication overhead, and more time on the engineering work their clients actually pay for.

"

We went from juggling multiple tools to having everything in one place. The AI features alone have saved us hours every week on outreach and follow-ups.

Team Lead

Meridian Team lead