Abacus.AI Case Studies | Enterprise AI Success Stories

Highlights

What Customers Built, and What Changed

Architecture & Engineering

90%less labor on site due-diligence research

~800: active users, up from a 19-person pilot
~100: apps and bots built by the firm's own developers

Engineering Firm Cuts Site Due-Diligence Research by 90%

Problem

Researching a site's building codes and jurisdiction rules took half a workday per site.

Solution

A research workflow looks up the code requirements on the web and fills in the due-diligence documents.

Result

About 90% less labor per site: a half-day task reduced to minutes.

AI Workflows
Abacus AI Agent
DataLLM
Document retrieval

Software

1.5Mleads scored every day

3: regions scored daily: APAC, EMEA and AMER
~10K: priority leads a day explained in plain language

Design Software Company Scores 1.5M Leads a Day Across Three Regions

Problem

Lead volumes were too large to prioritize by hand.

Solution

A daily pipeline scores every lead, routes high-value accounts into nurture sequences and explains each priority score to the rep.

Result

1.5M leads scored a day across three regions, with plain-language reasons for ~10K priority leads.

Predictive ML
Batch predictions
Feature groups
Model explainability

Private Equity

95⁠–⁠99%extraction accuracy across fund documents

100K+: investment documents processed
3: document vaults connected, with no manual transfers

Private Equity Firm Extracts Fund KPIs from 100K+ Documents

Problem

Fund metrics sat in 100,000+ documents across three vaults, reviewed entirely by hand.

Solution

A multi-model pipeline extracts the metrics, resolves duplicates and conflicts, and badges each critical KPI with its confidence.

Result

95⁠–⁠99% extraction accuracy, replacing the manual review.

Multi-model pipelines
Document retrieval
Connectors

AI Workflows

Workflows That Do the Work

Pipelines that take in the documents and data a team handles every day and hand back finished, checked work.

1,000sof drawings processed every day
Manufacturing
Manufacturer Matches Thousands of Technical Drawings to Suppliers Every Day

Problem

The supply chain team had to classify thousands of technical drawings, extract their attributes and find qualified suppliers, with heavy manual review.

Solution

A multimodal workflow extracts trade codes, taxonomy and OEM details from each drawing in parallel, and a bot matches each drawing to qualified suppliers.

Result

Thousands of drawings are processed daily on a pipeline built for tens of thousands a day, with much less manual classification.
- AI Workflows
- Custom chatbots
- Predictive ML
200+record categories, sorted and filed automatically
Healthcare
Healthcare Provider Stops Sorting Patient Records by Hand

Problem

Incoming medical records were sorted and routed by hand before a physician could see them.

Solution

An LLM pipeline classifies each record, scores its confidence and sends uncertain ones to a person, writes a patient summary and files the record into the EHR.

Result

Records are sorted into 200+ categories and filed without manual routing, and the physician is alerted when new ones arrive.
- AI Workflows
- LLM pipelines
- EHR integration
7+rule categories checked on every asset
Media & Marketing
Marketing Agency Automates Quality Checks on Studio Artwork

Problem

Every poster and banner the agency makes for major film and TV studios must pass strict guideline checks, and its open-source QA model was slow.

Solution

A multimodal workflow checks typography, credit sizing, logo copyright and wild-posting rules, behind a web app where designers upload a ZIP of assets.

Result

Checks across 7+ rule categories run in one workflow, faster than the old model, with per-image results and spreadsheet export.
- AI Workflows
- Abacus AI Agent
- Custom apps
~1,000active users, including ~300 developers
Business Software
Business Software Provider Puts Workflow Automation in the Hands of ~1,000 Employees

Problem

Business units and IT wanted to automate their workflows and build internal tools without waiting for engineering resources.

Solution

Business users build workflows and internal tools with the AI agent, Scheduled Tasks run them on a recurring cadence, and ~300 developers use CodeLLM.

Result

About 1,000 people use the platform, 350+ have attended enablement sessions, and recurring processes run on schedule without manual work.
- Abacus AI Agent
- Scheduled Tasks
- CodeLLM

Apps & agents

From Prompt to Production App

Teams describe the internal app or agent they need and build it on Abacus.AI, instead of buying another tool.

30⁠–⁠60receipts per report, audited by the agent
Technology
Fortune 500 Data Company Hands Expense Audits to an AI Agent

Problem

Auditing expense reports of 30⁠–⁠60 receipts each against policy was time-consuming manual work.

Solution

An agent reads every receipt, validates it against policy rules and sends the approval or rejection email. It shipped from development to production with user acceptance sign-off.

Result

Expense audits run automatically, reducing the manual review burden, and a second phase extends the agent to complex and edge-case categories.
- Abacus AI Agent
- LLM extraction
- Private VPC
170 pagesof penetration testing, passed
Food & Agriculture
Global Agri-Food Company Lets Non-Engineers Build Internal Apps

Problem

Business teams needed internal tools and data answers without waiting on engineers or writing SQL.

Solution

Employees describe the app they need and the AI agent builds it. Developers use CodeLLM, and business users query Snowflake and Athena in plain English.

Result

Non-engineers build production-grade internal tools that users rate above Microsoft Copilot, on a platform that passed a 170-page penetration test.
- Abacus AI Agent
- CodeLLM
- Data connectors
Hours → Minsfor client-ready reports
Public Relations
PR Agency Replaces Manual Coverage Tracking with Agents

Problem

Team members spent hours every week searching the web for press placements and assembling client reports by hand in a paid reporting tool.

Solution

A web-search agent finds and formats press placements with their audience data, another agent pulls ad spend month over month, and a dashboard reports social reach.

Result

Client-ready reports take minutes instead of hours, the reporting tool subscription is gone, and the coverage skill is shared by every client team.
- Abacus AI Agent
- Skills
- Dashboards
2,000seats across its TV stations
Broadcast Media
Broadcaster Rolls Out AI Research to 2,000 Seats Across Its TV Stations

Problem

Researching stories and preparing broadcast segments took journalists and producers significant manual effort.

Solution

An AI agent researches everything from quick fact-checks to in-depth stories, a pipeline automates segment research, and a workflow resizes photos for broadcast and digital.

Result

Journalists spend less time on research, ad production moves faster, and about 600 million tokens a month run across 2,000 seats.
- Abacus AI Agent
- AI Workflows
- Custom chatbots

AI assistants

Assistants That Know Your Business

Assistants grounded in a company's own procedures, documents and data, with the governance IT teams need.

1,000+employees registered, 100⁠–⁠120 active each day
Banking
Community Bank Gives Branch Staff an Assistant for Bank Procedures

Problem

Branch staff needed quick, correct answers on procedures while serving customers, from address changes to token resets and debit card orders.

Solution

An assistant grounded in the bank's procedures and policies, tailored to retail, commercial and loan administration staff, with weekly adoption reports sent automatically.

Result

1,000+ employees registered and 100⁠–⁠120 use it every day, one of the fastest adoption ramps on the platform.
- ChatLLM Enterprise
- Custom chatbots
- Document retrieval
150⁠–⁠200employees onboarded every week
Airline
Airline Onboards 150⁠–⁠200 Employees a Week Through a Training Assistant

Problem

An airline rolling AI out to its whole workforce needed every employee trained before getting access.

Solution

A training assistant with Microsoft Entra sign-in gates platform access until training is done, and a Microsoft Teams chatbot reaches employees not yet onboarded.

Result

Employees join in weekly cohorts of 150⁠–⁠200, trained before they get access, and sales teams produce their weekly channel reports themselves in plain language.
- Custom chatbots
- Microsoft Teams
- DataLLM
~566active users of 691 invited, across 80 countries
Commercial Services
Global Services Company Rolls Out AI Assistants Across 80 Countries

Problem

A 60,000-person company in 80 countries needed to extend advanced AI and agents to its workforce cost-effectively.

Solution

The AI super assistant is rolling out region by region, staff use the AI agent for company research and automation, and an HR portal lets employees use internal chatbots without a full license.

Result

Adoption is strong in Europe and expanding into Asia-Pacific, and Abacus.AI is now the designated platform for advanced AI use cases.
- ChatLLM
- Abacus AI Agent
- Custom chatbots
150+users, with real-time data-loss alerts
Alternative Investments
Investment Firm Watches Its AI Assistant for Data Leaks in Real Time

Problem

A global investment firm with strict security and compliance rules needed to roll out an AI assistant without risking data leaving the firm.

Solution

A monitoring pipeline built on Abacus.AI flags policy violations, such as emails to external domains, unauthorized MCP connections and risky conversations, and alerts IT security in real time.

Result

The assistant reached 150+ people across investment and operations teams, and every policy violation reaches IT security as it happens.
- Abacus AI Agent
- MCP connectors
- Audit logs

Predictive models

Models That Predict and Decide

Models trained on a company's own data that take over classification and pricing decisions.

80%less manual processing time
Financial Services
Lender Cuts Manual Industry Classification Time by 80%

Problem

Assigning industry (SIC) codes to small and medium-sized businesses by hand was slow, error-prone and held up lending.

Solution

A combination of ChatLLM, generative AI and ML determines the SIC code from business information across sources, in batches.

Result

Manual processing time dropped by 80%, with over 85% classification accuracy.
- Predictive ML
- ChatLLM
10%higher net profit per guest
Retail
Retailer Raises Net Profit per Guest by 10% with Price Optimization

Problem

The retailer struggled to find the ideal price point for its products.

Solution

A regression model deduces each product's price sensitivity and ideal price point, so prices can be tested without losing customers.

Result

Net profit per guest rose 10%, with 90% accuracy in price-sensitivity estimates.
- Predictive ML
- Optimization

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Case Studies

What Customers Built, and What Changed

Engineering Firm Cuts Site Due-Diligence Research by 90%

Problem

Solution

Result

Design Software Company Scores 1.5M Leads a Day Across Three Regions

Problem

Solution

Result

Private Equity Firm Extracts Fund KPIs from 100K+ Documents

Problem

Solution

Result

Workflows That Do the Work

Manufacturer Matches Thousands of Technical Drawings to Suppliers Every Day

Problem

Solution

Result

Healthcare Provider Stops Sorting Patient Records by Hand

Problem

Solution

Result

Marketing Agency Automates Quality Checks on Studio Artwork

Problem

Solution

Result

Business Software Provider Puts Workflow Automation in the Hands of ~1,000 Employees

Problem

Solution

Result

From Prompt to Production App

Fortune 500 Data Company Hands Expense Audits to an AI Agent

Problem

Solution

Result

Global Agri-Food Company Lets Non-Engineers Build Internal Apps

Problem

Solution

Result

PR Agency Replaces Manual Coverage Tracking with Agents

Problem

Solution

Result

Broadcaster Rolls Out AI Research to 2,000 Seats Across Its TV Stations

Problem

Solution

Result

Assistants That Know Your Business

Community Bank Gives Branch Staff an Assistant for Bank Procedures

Problem

Solution

Result

Airline Onboards 150⁠–⁠200 Employees a Week Through a Training Assistant

Problem

Solution

Result

Global Services Company Rolls Out AI Assistants Across 80 Countries

Problem

Solution

Result

Investment Firm Watches Its AI Assistant for Data Leaks in Real Time

Problem

Solution

Result

Models That Predict and Decide

Lender Cuts Manual Industry Classification Time by 80%

Problem

Solution

Result

Retailer Raises Net Profit per Guest by 10% with Price Optimization

Problem

Solution

Result

Begin With One Governed Lighthouse Workflow