Growth creates a hidden cost when every brief, campaign, and client conversation forces the team to reconstruct context.
Agency owners feel it when experienced people spend valuable hours searching past work and rebuilding instructions. Marketing and growth leads face the same drag across research, content, approvals, and reporting.
Human BXG had more than 50 years of marketing and advertising experience across its people, files, and completed projects. The expertise was substantial, but applying it consistently required repeated context gathering.
Transmitter built dnAI on FullSignal to turn that accumulated knowledge into working infrastructure. Human BXG now owns and uses a branded live platform at humandnai.xyz.
The agency’s knowledge now starts the work. It informs research, briefs, content, and alerts from the outset. Four connected workflows carry relevant context forward, while human judgment and approval remain in control.
Growth can build on what the team already knows without adding another layer of process overhead.
- Client
- Human BXG (Human Brand Experience Group), Toronto, full-service agency, 50+ years
- Team size
- 12
- Timeline
- January to June 2025
- Scope
- Branded platform, knowledge base, research paths, output formats, workflow rules
- Services
- FullSignal, AI production systems, white-label AI
- Live product
- humandnai.xyz
What changed
Faster work
Pre-meeting brief preparation fell from 2.5 hours to 25 minutes, using reusable research, positioning, customer pain points, objections, and proof points.
Greater delivery capacity and growth
Capacity increased by 60% without proportional headcount growth, supporting 36 monthly deliverables across 12 active client brands through four connected workflows.
An owned, differentiated platform with human control
Human BXG owns dnAI, live at humandnai.xyz, combining 50+ years of expertise while people retain judgment, approval, and publishing control.
“Adam is one of the top two developers and AI people I've worked with. I had no doubt he'd deliver what he said he would, and I was astonished by how much he knows about where AI is heading for companies.”
Human BXG’s expertise was spread across people, files, and projects.
Human BXG evolved from more than 50 years of marketing and advertising experience. Its practical value lies in understanding customers, reading markets, shaping messages, and turning strategy into better work.
That expertise was scattered across people, files, and previous projects. Valuable context was difficult to find, apply, and carry into the next brief. Teams risked rebuilding work the agency had already done.
Clients faced the same constraint. Useful knowledge existed inside their businesses, but accessing and applying it consistently required time and specialist input.
dnAI gives that knowledge one place to land. It makes proven expertise easier to reuse, while keeping interpretation and judgment with the people responsible for the work.
dnAI’s live workspace: brand-aware filters and skills that keep generated content inside the client’s voice and standards.
Transmitter turned agency knowledge into a branded AI platform.
Transmitter built the FullSignal system behind dnAI, including the branded platform structure, knowledge base setup, research paths, output formats, and workflow rules.
Human BXG contributed its marketing experience and client judgment. Transmitter structured that expertise into a working AI platform the agency can use with clients under its own brand.
The result goes beyond a collection of prompts. dnAI is a client-facing system that turns business context into reports, recommendations, content direction, alerts, and practical next steps.
Human BXG can brief, research, and route work under its own brand without losing the context behind each decision. More of the team’s time can go to useful client work instead of reconstructing what the agency already knows.
dnAI supports the work from first brief to final distribution.
The team uses dnAI across four connected workflows. Research and context move forward with the work, while judgment and approval remain with the people responsible.
Research + briefing
- Build a pre-meeting account brief from competitor positioning, customer pains, pricing context, likely objections, and proof points
- Alert the team when a competitor changes pricing, messaging, pages, or offers
Content + enablement
- Turn market research or a client URL into a branded brief, article, or thought-leadership asset
- Develop LinkedIn, X, and Facebook variants from one approved theme
Email + distribution
- Research, write, approve, and send a polished newsletter through one workflow
- Convert a published article into an outbound or nurture email campaign
Alerts + mobile briefings
- Send one focused action brief to a leader each morning
- Deliver a weekly brand and competitor monitoring digest to Telegram
A salesperson can move from an account name to a meeting brief, discovery questions, objection preparation, follow-up email, and next steps without rebuilding the research at each stage. The system carries useful context forward while people retain control over what is approved and used.
dnAI turns existing knowledge into repeatable delivery capacity.
Before dnAI
- Knowledge spread across tools, documents, projects, and people
- Each brief required repeated prompting and manual context gathering
- Research needed manual synthesis before teams could act
- Outputs varied depending on who used the AI
- Teams rebuilt research, context, and instructions for recurring work
After dnAI
- Agency and client knowledge organized in a structured knowledge base
- Repeatable workflows carry context from research through delivery
- Deeper research becomes reusable across briefs, content, and follow-up
- Brand-aware outputs follow defined voice and standards
- Client-facing infrastructure becomes more useful as knowledge accumulates
Common objections
“We already use ChatGPT.”
ChatGPT supports individual tasks. dnAI applies your knowledge, voice, standards, and workflows across repeatable agency and marketing work. The resulting system is specific to how your team delivers.
“We could build this ourselves.”
You could. The trade-off is assigning internal people to design, test, maintain, and improve the infrastructure. Transmitter builds the system so your team can focus on clients, campaigns, and growth.
“Who owns the data?”
You do. The knowledge base and outputs belong to the agency. Hosting and data terms are set in the project agreement.
“What does it cost to start?”
Start with a $250 AI Strategy Session. Builds are scoped after that.
Build from your Brand DNA.
Turn the knowledge you already own into repeatable delivery capacity. Start by identifying the workflows, context, and decisions your system should carry forward.