Back OfficeBack Office
All case studies
Financial Services

60–80 hours/week recovered and a 24/7 autonomous workforce shipped for a financial services firm

Replaced executive assistants and manual back office work with an integrated AI operating system across the leadership team, stood up a team of specialized agents running around the clock, and rebuilt the firm's deal sourcing engine to operate at a scale no human team could match. The leadership team stopped triaging email and started running the firm.

60–80 hrs/wk
Leadership hours recovered
100K+
Qualified leads sourced
01

The Company

Industry
Financial services (investment firm)
Size
Lean senior team
Geography
US-based

A financial services firm running deal sourcing, portfolio management, and investor relations with a small senior team. The firm was growing and the leverage problem was acute. Every partner was doing meaningful junior work, from inbox triage to lead research to follow-up tracking, and the firm had already hired the executive assistants and virtual assistants that the conventional playbook recommends. The conventional playbook was not keeping up.

02

The Challenge

Seven problems were quietly capping the firm's growth. None of them were the kind of thing that shows up on a board deck, but together they were consuming the leadership team's calendar and leaking value across every function.

  • Meeting commitments were falling through the cracks. Partners were taking dozens of meetings a week, each one producing commitments, action items, and follow-ups. Some made it into a task list. Most did not. The firm had no reliable system for turning what was said in a room into work that actually got done.
  • The leadership team was buried in inbox and calendar work. Executive assistants and VAs were handling the mechanical layer, but the partners were still spending hours in triage, drafting, and scheduling. The cost was not the labor. The cost was the partner attention being spent on work that did not need a partner.
  • Research was a bottleneck. Market research, prospect research, and daily briefings were being assembled by hand, which meant they were either late, shallow, or both. The information the partners needed to start the day was rarely on their desk when they started it.
  • Deal database access was underused. The firm's subscription to one of the most comprehensive deal databases available contained more qualified leads than the firm could ever process by hand. The team was pulling targets one at a time and missing the scale advantage entirely.
  • Inbound replies were getting lost. Outbound campaigns were producing responses faster than the team could triage them. Hot replies were sitting unanswered because the partner who needed to see them was in meetings.
  • Internal tooling was scattered. Lead generation, file organization, task assignment, model building, and marketing work were each happening in different places, with different owners, and no shared interface for getting anything done quickly.
  • The marketing presence was out of date. The firm needed a modern website but did not have the bandwidth to run a traditional design and build engagement.
03

The Approach

We started by mapping the leadership team's actual week. Where the senior people were spending their time, what work was getting done by humans that did not need to be, and which workflows could be picked up by an always-on system without the firm losing the judgment that made it good at its job. The goal was not to remove people from the loop. The goal was to remove people from the work that was beneath their loop. The approach had three principles: build the autonomous layer first, because that is where the largest hours sit; connect it to the tools the team already lives in, so the firm does not have to learn a new interface to get the benefit; and keep the partners in the loop on anything that touches a relationship, a commitment, or a dollar.

  1. 01

    Map the leadership week

    Sat with each partner. Documented every recurring task, every meeting, every place a human was doing work that a system should be doing.

  2. 02

    Build the autonomous layer

    Stood up a dedicated environment running specialized agents around the clock. Designed the system so the firm had work waiting for them when they logged in each morning, not a backlog they had to catch up to.

  3. 03

    Wire it into the firm's daily surface

    Integrated the agents directly into the team's existing chat workspace so work could be triggered conversationally. No new app to open, no new login to remember, no new behavior to learn.

04

What We Built

Seven integrated systems, each running in production and feeding the next.

Meeting-to-task automation

A custom CRM that pulls meeting transcripts automatically, parses commitments and action items out of the conversation, and assigns the resulting tasks to the right person across the firm with the appropriate due date and context. Nothing said in a meeting falls through the cracks. Follow-ups happen without anyone remembering to schedule them. The partners stopped taking notes about who owed what to whom, because the system was already doing it.

AI operating system for leadership

A unified system replacing executive assistants and VAs across the leadership team. Handles inbox triage and drafting, calendar scheduling and rescheduling, deep market research, and a personalized daily executive brief covering portfolio updates, deal flow, and priority items. Each partner gets the brief on their desk before they start the day. The work that used to consume two hours of senior attention now consumes ten minutes of review.

24/7 autonomous agent workforce

A full environment running a team of specialized agents around the clock. The agents pick up work overnight and are ready with results by the time the team logs in. The firm now has output that compounds outside of business hours, which is a structural advantage that headcount alone cannot produce.

Deal-sourcing engine

A custom scraper that pulls over 100,000 qualified investor and company leads directly from the firm's deal database subscription. Fuels deal sourcing, co-investor identification, and outbound pipeline at a scale the firm could never have built by hand. The deal team stopped browsing the database and started working from a structured, filtered list every morning.

AI email automation agent

Auto-responds to inbound replies, intelligently escalates messages that need partner attention to human-in-the-loop review, and runs outbound campaigns to net-new contacts as part of the firm's ongoing prospecting motion. Hot replies now land on the right partner's desk in minutes. The cold ones never consume a partner minute at all.

Marketing website

Designed, built, and deployed end to end using AI agents, shipped on a modern hosting platform for fast iteration and performance. Replaced what would have been a traditional design and development engagement with a build that landed faster and now serves as the firm's public face.

Chat-native self-healing agent

A self-healing agent integrated directly into the firm's chat workspace so the team can interact with it natively. The agent handles lead generation, file cleanup and organization, task assignment, financial model building, and marketing material creation, all triggered conversationally. The firm operates the agent the same way it operates any other team member, which is the interface model we have seen produce the highest adoption.

05

The Results

60–80 hrs/wk
Leadership hours recovered across the partner team
100K+
Qualified leads now in the deal sourcing pipeline
24/7
Autonomous output, with work waiting at the start of each day
Soft outcomes
  • The partners stopped doing junior work. The leadership team's calendar shifted from inbox and triage to deals, relationships, and strategy. The time was not just recovered, it was redirected to work only the partners could do.
  • Nothing said in a meeting gets lost. Commitments, action items, and follow-ups are captured automatically and assigned to the right person with context. The firm's institutional memory got reliable.
  • The deal sourcing motion stopped being capacity-bound. The team is no longer choosing which leads to research. The system is researching all of them, and the team is choosing which ones to act on.
  • The firm has output running overnight. Work that used to start in the morning now starts whenever the agents pick it up, which is whenever it shows up. The team's mornings begin with results, not a queue.
  • The whole stack is operated through chat. No new interface, no new logins, no new behavior. The team interacts with the system the way they interact with each other.
06

The Methodology

Build the autonomous layer first. Wire it into where the team already works. Keep the partners in the loop on anything that matters.

Every engagement starts with the same question: where is the leadership team spending hours on work that the firm does not need them spending hours on? The first systems we ship are always the ones that recover senior time, because senior time is the most expensive and most leveraged resource the firm has. The autonomous layer comes next, because that is what turns recovered hours into output that compounds while the team sleeps. The integration layer comes last, because the right interface is whatever surface the team is already using.

This applies if you are
  • A small leadership team carrying the weight of work that should not require a partner
  • An investment firm whose deal sourcing is capped by human research capacity
  • A team already paying for executive assistants and VAs and still drowning in inbox and calendar work
  • An operator who wants output running overnight, not just during business hours