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April was a build-and-show month. We relaunched the website around our credit union and bank ICP, took AgentFlow to Singapore and to NACUSO Reimagine, shipped the next wave of AgentFlow features, and put two new resources in front of decision-makers.
The cadence stays the same as January and February: short, sharp, no fluff. Here is what moved the business forward.
In early April, we relaunched our website: the first major refresh in over a year.
The new site reflects our refined focus on the customers we serve. As Ishita Jaiswal, our Head of Growth, put it: "We released our new website, which reflects our refined focus on our ICP much more. We're hoping it's much more supportive of credit unions and answers questions better for them as they're thinking about AI implementation for the coming few months and years."
What changed:
The point is simple: a site built to answer the questions credit unions and banks actually ask before they pick an AI vendor.
From April 28-30, Ankur Patel (Founder and CEO) and Ishita Jaiswal (Head of Growth) were on the ground at Milipol TechX (MTX) 2026 in Singapore.
Multimodal is part of Hatch's Dimension X Cohort 7, the open innovation programme that brought us to MTX. Across the three days, the team met with government and ecosystem stakeholders and connected with startups working at the intersection of AI, robotics, and other emerging technologies.
In Ishita's words: "We met different Singapore government agencies. We also met a lot of startups doing very interesting work with AI, robotics, computer vision, and more."
We are continuing to work with end users in Singapore through Hatch's Dimension X programme, and we are in the process of trialing and validating our technology for operational use cases in the region. The momentum from Cohort 7 — and from the broader Hatch ecosystem — continues to be a meaningful surface for AgentFlow beyond financial services.
The same week, Nicholas Bianchi, our VP of Sales, represented Multimodal at NACUSO Reimagine 2026 in Lake Buena Vista, FL (April 27-30).
Multimodal pitched on stage as part of the Filene Research Institute's accelerator showcase — another beat in our ongoing partnership with Filene, which also includes the FiLab Agentic AI Discovery Test we covered in February's update. Nicholas met with CUSOs, credit union leaders, and ecosystem startups across the three days.
The arc through 2026 so far is visible: Filene FiLab in February → on-stage at Reimagine in April → EDGE26 in May. The audience is the same. The conversations are getting more concrete.
Nicholas Bianchi closed out the event stretch at EDGE26 in Dallas, TX, from May 12 to May 15. Edge leans more toward credit unions than toward CUSO-focused audiences, making it a direct audience match, and we were on the agenda alongside it.
"Credit unions don't have a people problem; they have an operational challenge. Manual work is the bottleneck, and AgentFlow gives them AI workers that turn hours into minutes and let teams scale without scaling headcount." - Nicholas Binachi, VP of Sales, Multimodal.
We were at Booth #202, where we ran a $100 Amazon gift card giveaway by random draw for booth visitors. The conversations on the floor lined up with what we have been hearing all year: credit union leaders are past the "should we look at agentic AI" stage and into "where do we start, and what does production look like".
Starting this month, we will share what the team shipped over the past four weeks. Here is the April edition.
AgentFlow's Playbooks are pre-built workflow blueprints for common document-processing scenarios — loan analyses, credit assessments, deal memos, and more. They give teams a fast, proven starting point instead of building workflows from scratch.
In April, Playbooks became dramatically smarter for organizations that operate across multiple business lines. A company working in both banking and private equity, for example, now sees the right set of Playbooks for each business line in a single, unified view, with no environment switching. The catalog also got a polish pass; names now reflect your context automatically, so you see "Loan Analysis" rather than "Loan Analysis (Banks)."
Why it matters: Operators in multi-vertical organizations get a unified view of all the tools available to them.
Decision AI is one of AgentFlow's specialized agents. It produces structured, reproducible decisions on documents, approve/reject, flag/clear, eligible/ineligible, by encoding a team's decision criteria once and applying them consistently across thousands of documents.
This month, Decision AI's full capabilities now extend to AgentFlow's fast-track ingestion path, designed for teams processing very high document volumes. The decisioning intelligence is the same; the setup is faster, and operators in high-throughput environments get the same automated rigor as teams running the full configuration.
Why it matters: high-volume operations no longer have to trade speed for decisioning sophistication.
For teams running high-throughput document workflows, AgentFlow now brings live processing progress directly into the Review view. As each execution runs, operators see exactly which agents have completed, what's running now, how long every step has taken, the running cost, and the chain-of-thought reasoning behind each step. Once an execution finishes, the same tracker stays available as a tab alongside the rest of the Review tools.
Why it matters: operators get full transparency into what the platform is doing on their behalf, with no guesswork about where an execution stands.
Document review at enterprise scale demands reliability. This release brought a series of refinements:
Why it matters: enterprise-grade reliability and a more polished day-to-day experience.
AgentFlow runs on the best AI model for each task, drawing from OpenAI, Anthropic, Google, and other leading providers. We centralized AgentFlow's model catalog, enabling new models to roll out across the platform faster and more consistently as providers release them.
Why it matters: customers benefit from new state-of-the-art models within days of release.
A major upgrade to how AgentFlow's agents work with your documents, they'll soon be able to pull and reference exact passages from source content in real time, with deeper traceability for every answer they produce. Plus, a faster, friendlier in-app support experience is rolling out in the next few weeks.
For more on the platform, visit the AgentFlow page.
The storefront and the substance came together: a new website built around the customers we serve, three events that deepened our credit union and Singapore stories, more products in operators' hands, and resources leaders can actually use. EDGE26 just wrapped, and AgentFlow keeps shipping.
If you are weighing agentic AI for your team, the fastest way to evaluate AgentFlow is to put a real workflow in front of it. Book a 30-minute demo, and we will walk through it end-to-end, including decisions, documents, and the operational waste it removes.
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