How we created clarity on 100+ Client Chats
MARKETING
AI AGENTS
CHATS
VECTOR DB
The Company
Traffic Today is a performance marketing agency managing dozens of high-value client accounts across multiple platforms. Their growth brought complexity in managing client communications and performance data at scale.
Company name
Traffic Today
Industry
MARKETING
Company size
80+
Location
Deventer
What we did
~8
Hours/week saved per manager on client
95%
of relevant comms automatically summarised
40+
Onboarded client channels on Nessy
The Challenge
As Traffic Today scaled, so did the complexity of managing client communications and performance data.
Account managers were juggling Slack messages, emails, VOIP calls, Asana task updates, and marketing analytics — all scattered across multiple tools. This made it difficult to:
Maintain real-time awareness of every client’s status
Spot urgent issues before they escalated
Provide managers with an accurate, high-level overview of all clients without hours of manual digging
The lack of unified client intelligence meant that high-intent messages could be buried, daily trends went unnoticed, and client context was fragmented across tools.
The Approach
Step 1 – Discovery & Data Mapping
We mapped every communication and data source used in daily operations. This included Slack, email, VOIP calls, task tracking tools, and marketing analytics platforms like GA4, Google Ads, and Search Console.
Step 2 – System Architecture & Ingestion Pipelines
We designed Nessy, a per-client AI agent embedded directly into Slack. Each agent has its own secure, isolated memory to store communications, analytics data, and contextual metadata.
Step 3 – Real-time Intelligence & Daily Updates
Nessy continuously ingests data streams and updates itself via a daily cron job. Managers and staff can query Nessy in real-time for client summaries, past decisions, urgent tasks, or trend spotting.
Step 4 – AI Layer with Human Feedback
We implemented a “mark as important” feature so humans can flag high-value communications. This allows the AI to prioritise and focus on key actions, ensuring it captures sentiment, urgency, and intent accurately.
The Solutions
We deployed Nessy, a Slack-native Client Intelligence Agent, for 100+ active clients. Nessy connects all communication and analytics sources into one searchable, conversational interface.
It automatically:
Captures importance ratings, creates sentiment scores, urgency levels, and topics discussed
Summarises client activity daily
Detects and highlights key actions, questions, and decisions
Performs cross-client trend analysis for management visibility
Current integrations include Slack, Email (via CC), and VOIP call data. We combined integrations with Asana, Google Sheets reporting, WhatsApp, and additional marketing data sources (Meta, TikTok, Ahrefs).
The strong thing about this use case is that we made it scalable to work on Slack, Teams, or whatever chat you prefer, creating a flexible layer.
“Nessy has transformed the way we keep track of our clients. Instead of chasing updates, the updates come to us — already summarised and prioritised.”
Dominique
Business Lead
The Results
Nessy has eliminated the need for managers to manually check multiple tools just to understand client progress.
Account managers now receive daily briefings with the most important updates for each client
Managers gain instant, cross-client performance insights without waiting for weekly reports
Urgent issues are spotted within minutes instead of days
Over the first month, Nessy processed an average of ~1,200 messages per client (≈ 49,000 total messages) across all integrated channels, automatically classifying and summarising them for context and action.
Impact:
Increased operational visibility across 41 active accounts
Faster response to urgent client needs
Data-driven, real-time management decisions without manual overhead