Senior advisory anchored in 25 years of digital and technology leadership. AI fluency where it earns its keep.
AI fluency isn't using AI. It's knowing exactly where AI multiplies expert judgment and where the expert still has to drive. Is AI the right tool? Often. Is it the starting point? Never — the problem is. We built our own practice on the same discipline we recommend to clients.
Our methodology is already running in production — see the live PIDP dashboard Labs publishes, where the same discipline we'd build for you analyzes the full FY25 PIDP program: all 37 awards and $774.1M in federal funding.
Federal grant rigor is the proving ground because it's unforgiving: hard deadlines, real dollars, reviewers who audit the math. The discipline that survives it travels to any problem where AI helps. That's what these cases prove.
How we rebuilt a federal PIDP port application in three weeks, from debrief to submission — anchored by persistent project memory, primary-source research, and verified math, with AI fluency solving the quantitative safety case these awards turn on.
A $17M terminal modernization grant for a Midwest river-logistics operator — won on speed and rigor with AI fluency parsing the rubric, reconciling the data, and running the math. Same discipline, different proving ground.
How Prosody Labs built a self-updating intelligence dashboard for Opportunity Zone 2.0 — and what it shows about working fluently with AI. Live, public, operating today.
For technology decisions that need senior judgment — not vendor opinions, not internal politics, not bake-off theater.
Read where the organization actually is, name the technology decisions that matter, build the roadmap and the decision framework. The strategic thinking global agencies sell on retainer — built on 25 years and a $50M technology capability — applied to your priorities.
For teams that want their own people fluent in AI — not a permanent vendor dependency.
Design the workflows, write the operating instructions, build the verification discipline. Turn AI from a novelty into leverage inside your own walls. Our grant-writing practice is this service applied to itself.
For organizations that can't put their data into a generic AI tool but still need real AI capability.
Build LLM-agnostic, RAG-based implementations that handle proprietary data, regulated data, and compliance constraints. Patterns proven at SOC 2 Type 2 and PCI-DSS scale.
For teams paying real hours each week to reassemble the same picture from the same scattered sources.
Design the standard of quality, encode the research discipline, hand the repetitive vigilance to an agent that runs every day and tells you honestly what it couldn't see. The OZ 2.0 Monitor and PIDP federal funding dashboard are what these look like in production.
For agencies, in-house marketing leaders, and MarTech-heavy organizations.
Stack architecture, vendor selection, capability assessment, integration strategy, and the AI overlay where it matters most — content, campaign analytics, creative ops, attribution. Built directly on five years of leading the Technology practice at Digitas.
For organizations building or scaling D2C platforms, customer-facing digital products, or e-commerce capability under real revenue pressure.
Platform and product roadmap, daily operations, retail-cycle responsiveness, technical resilience, and compliance. Proven on a Fortune 100 e-commerce account with a first-of-its-kind D2C platform in the tire industry.
We don't show up with a solution looking for a use case. The work starts with what's actually going wrong, or what's actually at stake. AI is one of the tools we reach for — when it fits.
Research starts with primary sources — the funding notice, the regulation, the official agency page, the client's own data. Secondary sources are useful, but they're never the foundation.
Decisions, figures, framings, and constraints stay locked once they're set. The AI carries them session to session so nothing drifts. The discipline matters most on long, document-heavy engagements where consistency is what wins.
Every AI-assisted step is followed by human verification. Math is re-run. Claims are pressure-tested. The expert owns every decision that matters and signs every word that leaves the firm.
For agencies, in-house marketing leaders, and MarTech firms putting AI to work.
Howard ran the Technology practice at Digitas across Boston and Detroit for five years — $50M annual revenue responsibility, regional executive leadership team, multimillion-dollar client engagements. The work spans stack architecture, vendor selection, capability assessment, integration strategy, and the AI overlay where it matters most: content production, campaign analytics, creative ops, attribution. Where most consultancies treat AI as a feature to layer onto MarTech, we treat it as an operating discipline that needs to be built into how the team actually works.
AI fluency, sold back to the market that needs it most.
The grant-writing industry — small firms, county and municipal agencies, state economic-development offices, and the engineering firms currently running grants as a side hustle — is sitting on the same problem Prosody solved internally: long, document-heavy work under tight deadlines that needs to be done right. The methodology that won our own federal awards is teachable. We help grant-writing teams stand up the workflow, write the operating instructions, and build the verification discipline that turns AI from a novelty into leverage inside their own organizations.
Tell us about it. Within two business days you'll have our read — what we'd do, and whether we're the right firm to do it.