Customer memory from Day AI and a decided Context Layer from TrustLeader, built as one system, so a company's AI agents know what happened and what the company decided.
FLORENCE, Italy, November 4, 2026. TrustLeader, the consultancy that builds the Context Layer for B2B companies, is now a certified Day AI Solutions Partner. Under the partnership, TrustLeader sets up Day AI's customer memory for clients, builds the part of the Context Layer that holds what the company has decided, and then connects the two, so that every agent works from a single version of the truth. For clients, this is the fastest and safest path from Scattered AI, where disconnected tools produce linear productivity gains, to Scaled AI, where AI can be trusted at scale and business impact compounds.
The partnership started with an experiment. Just a week before launching her second book and flying to an international AI conference, Hannah Eisenberg, founder and CEO of TrustLeader, gave herself four hours to build her first agent in Day AI, a relationship manager she named Yuki. "I was blown away," she said. "Building Yuki, I realized I had found what I had spent six months looking for: the Context Engine underneath my Context Layer. It has been a turning point for my clients and me.
Day AI provides the context graph and agent control plane to quickly and securely upgrade a company's go-to-market harness. It reads and analyzes call recordings (recorded either with its own AI notetaker or connected ones), email, calendar entries, meeting notes, and more, then assembles every customer relationship into one context graph without anyone having to log anything. On that context graph sit agents with names, job descriptions, and titles. Each one reports to someone on the team, runs its piece of the go-to-market around the clock, and brings back finished work to review: the meeting prepared, the follow-up drafted, the pipeline kept current. Underneath it all, Day AI keeps mining call recordings, meeting notes, and emails for what they hold, so the context gets richer every week. Hannah calls this the Context Engine part of a Context Layer.
But customer memory is only half the story. TrustLeader also helps companies build the other half that most ignore: the decided truth a company runs on. TrustLeader extracts and codifies the internal organizational knowledge, including the judgment, guardrails, and definitions that often only live inside people's heads, and turns it into one decided version of what the company holds by: who it serves and who it turns away, how it describes its value, what it will never claim, and what good looks like. When TrustLeader builds it for a client, it is the Trust Cortex™, a Context Layer built on the Foundation Five™: a company's Market, Customer, Offer, Proof, and Character.
Both parts are critical, and both also need the other. The engine works best with decided truth; without it, agents act confidently on what was said and stay silent on what was meant. The decided truth needs the engine, or it goes stale the day it is signed off, because nothing tells it the market moved. Connected, they compound. The engine feeds the Context Layer the evidence of what is changing: a new objection, a pitch that drifted, a customer's own words. The Context Layer tells every agent what to do with it. The more the engine captures, the sharper the decisions get. The sharper the decisions, the better every agent on the engine performs. As a Solutions Partner, TrustLeader now delivers both within one engagement.
Most companies already pay for AI in the form of chat assistants, specialized point solutions, or AI baked into the software they buy. Nothing is connected, and each tool runs on its own isolated knowledge and context. This limits AI to one-off output: a draft, a summary, an answer that a human still has to check, edit, and rework every single time. In other words, tasks where AI generates a draft or output, and a human is forced to check, edit, and rework it every single time. TrustLeader calls this Scattered AI. Linear gains, nothing compounds.
Only a small percentage of companies have scaled with AI, and they approach AI completely differently in two ways: they have high-quality context (what AI knows about the business when it does its work), and they redesign their processes and business models to be AI-forward, if not AI-first. They can do that because they built the foundations to trust their AI at scale to sound, decide, and act like them. The difference good context makes is measurable. HubSpot reports that customers using AI with high-quality context generated 5x more Marketing Qualified Leads (MQLs), closed 4.7x more deals, and resolved 6.8x more tickets than customers using AI with low-quality context [HubSpot Fall Spotlight 2026].
TrustLeader's Scattered to Scaled Maturity Model describes the climb in five levels:
You build the foundation for trustworthy AI at scale by building the Context Layer. Day AI is a context graph and agent control plane that does everything a CRM does without asking anyone to type, which makes it the fastest route to Captured (Level 1 to 2) that Hannah has found. Hannah then builds the decided part of the Context Layer on top, which takes a company to Decided (Level 2 to 3). The loop between the two is what Proven and Scaled run on. The expensive mistake is to skip a level: agents that know everything that was said and nothing that was decided will quote last year's price with full confidence.
"Most companies I talk to are frustrated by little or no return from their AI investments," said Hannah Eisenberg. "They ask AI to make the judgment call (e.g., write an email) and then rework the output. That saves a few hours, and it never scales. The problem is they mistrust AI, and rightfully so, because their AI doesn't have enough context, or has bad context, so it will inevitably get it wrong. What your AI doesn't know about your business, it fills in from training data, the internet, or hallucinations."
"The companies that scale with AI build foundations first. They carefully build, maintain, and iteratively improve context. They first capture the human judgment and then let AI scale it: that is where the growth is. Day AI gives a company a memory nobody has to type up manually. We help it decide what makes it authentically itself. Memory is the rearview mirror: it shows where the company has been. The company still has to drive, looking forward, and decide its goals, what is true, and what it will never do. Skip that, and the agents drift with whatever was said last."
TrustLeader focuses on founder-led B2B companies with $5M to $25M in revenue, selling considered purchases on long cycles, in software, technology, and manufacturing, that have invested in AI and want it to compound. That is the kind of company whose business runs on external conversations, which is where Day AI's customer memory does its best work. If that sounds like you, book a 30-minute Explore Call to find out if your organization could benefit from a Context Layer and if Day AI should be the context graph and agent control plane within it.
TrustLeader builds the decided Context Layer for B2B companies, so their AI does better work because it finally knows what the company decided. Founder and CEO Hannah Eisenberg has worked on the problem since she beta-tested SAP's first CRM in 2000 and wrote her thesis on knowledge management at SAP in 2002. She spent ten years at SAP and twelve years doing inbound marketing and sales enablement for B2B companies. She was a HubSpot partner for 12 years, served on HubSpot's Partner Advisory Council, and won a HubSpot Impact Award for Best Client Growth Story. She is the author of Scattered to Scaled and Lead With Trust. TrustLeader is registered in Florence, Italy, and works with clients in the US and UK. trustleader.co
Day AI provides the context graph and agent control plane to quickly and securely upgrade your go-to-market harness. Day agents run your go-to-market around the clock and bring you the finished work to review, in real time. Agents have names, job descriptions, and titles, and every agent reports to someone on your team. Not a better CRM. Life after it. Founded by Christopher O'Donnell, former Chief Product Officer of HubSpot, Day AI is backed by Sequoia. day.ai
Disclosure: TrustLeader is a certified Day AI Solutions Partner and earns fees on the Day AI implementations and subscriptions it delivers.
HubSpot, Fall 2026 Spotlight: results from HubSpot customers using AI with high-quality vs. low-quality context.