AISolutions

Off-the-shelf AI tools do not know your data, your workflows, or your terminology. They frustrate teams and stall before anything meaningful ships.

We build custom AI agents, copilots, and document intelligence systems connected to your actual data, deployed in Slack, Teams, or directly in your tools. Not chatbots. Working systems.

80%
reduction in document review time

Ask your data a question. Get an answer in 3 seconds. Backed by your actual systems, not generic training data.

The Challenge

Why most AI initiatives stall

01

Generic AI does not know your business

Off-the-shelf AI tools do not understand your data, your workflows, or your terminology. They hallucinate and frustrate teams who give up after a week.

02

Hours lost on tasks AI could handle

Teams spend hours on data extraction, summarization, and routing that an AI agent could finish in seconds with the right setup.

03

Documents pile up faster than humans can read them

Contracts, invoices, RFPs, claims, and reports sit in PDFs. Extracting what matters requires a human who could be doing something more valuable.

04

Insights take days to surface

Executives wait days for analysts to pull data and write summaries that an AI could generate automatically from the same data.

Capabilities

What we build

01

Custom AI Agents & Copilots

Internal AI assistants for ops, sales, finance, and leadership. Built on your data, connected to your systems, deployed in Slack, Teams, or a web interface.

02

Conversational Analytics

Text-to-SQL and ask-your-data interfaces. Business users ask questions in plain English and get data-backed answers without writing a line of SQL.

03

Document Intelligence

Automated extraction from contracts, invoices, RFPs, claims, drawings, reports, and permits. Structured data out of unstructured documents at scale.

04

RAG & Knowledge Systems

Company-specific AI search and retrieval. Your policies, proposals, past projects, and institutional knowledge, searchable and retrievable in seconds.

05

Workflow Automation

n8n, Make, Zapier, and custom Python and FastAPI workflows. Routine tasks automated end-to-end without human touchpoints.

06

AI-Powered Reporting

Automated executive summaries, weekly digests, and monthly reports. Generated from live data, reviewed by your team, sent on schedule.

07

Email & CRM Automation

AI-driven outbound, response handling, and lead scoring. Your CRM stays updated and your team focuses on conversations that matter.

08

Computer Vision

Site safety monitoring, defect detection, and asset condition inspection from camera feeds. See what your operations team cannot be everywhere to see.

Our Process

How we deliver

01

Assess

We audit your data landscape, systems, and gaps to build a clear picture of where you are.

02

Design

Architecture, data model, and delivery plan scoped to your goals and timeline.

03

Build

Pipelines, dashboards, models, or applications built and tested in your environment.

04

Validate

Every output is verified against your business rules before it reaches a decision maker.

05

Operate

Monitoring, alerting, documentation, and ongoing support so nothing breaks silently.

Results

Outcomes you can expect

80%
Reduction in document review and data extraction time
Monday
AI-generated executive briefings delivered automatically
Every week
Instant
Data queries answered conversationally
No analyst wait time
Automated
Anomaly and risk flagging
Before humans notice
Use Cases

Where this applies

01

Engineering firm: AI assistant in Slack

A project-based engineering firm wanted to give project managers fast answers to operational questions like which projects are over budget or who has capacity.

Outcome

We built an AI assistant connected to Deltek and Snowflake, deployed in Slack. Answers questions in 3 seconds with data-backed responses. Analyst requests dropped 60%.

02

Construction company: 1,200 contracts in hours

A general contractor needed to extract subcontractor payment terms, insurance requirements, and liability clauses from 1,200 historical PDFs before a legal review.

Outcome

We built a document intelligence pipeline using Claude and a custom extraction schema. All 1,200 contracts were processed in 4 hours. The legal team reviewed structured outputs, not raw PDFs.

03

Insurance carrier: AI claims triage

A P&C carrier received 300 to 400 new claims daily. Initial triage was manual, taking adjusters 20 to 30 minutes per claim before routing to the right team.

Outcome

We deployed an AI triage agent that reads claim intake forms, scores severity, and routes to the correct adjuster queue automatically. Average triage time dropped from 25 minutes to under 2.

Integrations

Some of the models, frameworks, and platforms we deploy

These are some of the platforms we connect. We integrate with almost any system. If you run it, we can likely work with it.

Claude
GPT-4o
Gemini
LangChain
LangGraph
LlamaIndex
Pinecone
Weaviate
Supabase
FastAPI
n8n
Snowflake Cortex
Azure OpenAI
AWS Bedrock
Claude
GPT-4o
Gemini
LangChain
LangGraph
LlamaIndex
Pinecone
Weaviate
Supabase
FastAPI
n8n
Snowflake Cortex
Azure OpenAI
AWS Bedrock
FAQ

Frequently asked questions

Get Started

AI that actually works in your business.

Book a free call and we will scope a real AI use case for your operations in 15 minutes.