Case study / AI Spaces

From spreadsheets to an AI-run growth engine

How DesignHub embedded AI-assisted prospecting, outreach, reporting, and content workflows inside an enterprise A&D practice — without asking the client to learn a new system.

Enterprise A&DAI Managed ServicesProduction-first

400+AI Spaces team members across the US and Latin America

4workflow areas built with the AI Managed Services team

The challenge

Senior people were doing operational work.

The friction was not a lack of ambition. It was the number of manual handoffs behind the scenes.

Manual marketing operations — from list management to reporting — pulled senior staff away from design and client work.

Lead lists needed ongoing organization and prioritization.
Reporting lived apart from the work it was meant to guide.
Senior-team attention was spent moving information between tasks.
The cost was capacity that could have stayed with design and clients.

What we built

Four connected areas of work.

The scope was practical: build the operating layer around the work already happening.

Prospecting pipeline

An automated pipeline segments leads by industry and priority, giving the team a clearer route from list to next action.

Segmentation / priority

Personalized outreach

Cold-email operations run at scale through Instantly and ZoomInfo, with research added for each contact.

Instantly + ZoomInfo

KPI + helpdesk dashboards

Reporting and helpdesk signals live together in unified dashboards so the team can see what needs attention.

Unified reporting

Agentic content workflows

LinkedIn and Instagram tracking is driven by live analytics across business lines, connecting content activity to the wider operation.

Live analytics / content

How we approached it

Embedded, not bolted on.

DesignHub worked with the AI Managed Services team inside the existing tools and workflows. The implementation met the team where the work already lived, so adoption was part of the build rather than a separate rollout.

The result

More capacity for the work clients feel.

The result is described by what the workflows now support — not by an invented performance metric.

AI-assisted outbound, segmentation, and reporting give the team a more unified operating rhythm — with more senior-team capacity for client-facing work.

AI-assisted outbound operations
Segmentation by industry and priority
Unified KPI and helpdesk reporting
More senior-team capacity for client-facing work

Proof in practice

The work should make the next conversation more credible.

The pitch is no longer “we can help you do this” — it’s “we did this to ourselves first.”

DesignHub AI

DesignHub / self-case

The first proof had to be ours.

A production-only BIM, CAD, and rendering firm had no track record in its new AI offering. DesignHub ran its own Readiness Assessment and Managed Services cycle before taking the offer to an outside client.

Brand-aware landing page rebuilt
Two-path service model
Complete GTM strategy
Ready-to-run outreach engine
Pitch and team-fluency materials

Result: published landing page, complete GTM strategy, and ready-to-run outreach before the first outside client.