Staff spent hours manually analyzing RFPs. Copilot now identifies scope differences in 15 minutes, freeing experts for design work.
A global leader in design and engineering services operating across water, energy, and transportation sectors with a heavy reliance on written technical deliverables.
Staff spent hours manually analyzing Request for Proposal (RFP) documents to identify scope differences and weeks compiling governance reports from...
“We view AI in two dimensions. First, we are already seeing it drive efficiencies which enable our people to focus on where they can create more value for themselves and our clients. Second, we believe AI opens doors to solving global challenges that were previously beyond the scope of human capacity, especially in areas like the environment and major infrastructure.”
Global engineering, architecture, and environmental consulting services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual drafting slowed client responses. Sales teams now use Copilot to write accurate proposals in half the time.
Sales teams dug through scattered systems for RFPs. Now, agents pull real-time stats to draft proposals instantly.
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
Rigid filters forced buyers to act like admins. Now, they describe a "cottage feel," and AI scans millions of listings to find a match.
Local modeling limited output to 5 projects. Now, 2,000 users build their own models on a shared platform, scaling production 12x.
Account managers manually synthesized 50+ signals. An on-prem agent now analyzes the data to draft the pitch.
Manual role-plays pulled staff off the floor. Now, AI agents run infinite drills and answer queries instantly, keeping experts selling.