AI agents that do the work.
A New York AI engineering firm. We build custom AI agents and AI as a Service for small and mid-sized businesses, tailored systems that plan, call tools, and finish real work across your CRM, ERP, documents, and operations. Our engineers embed with your team to deliver them.
The Idea
A business runs on judgment.
Now your software can too.
Every customer message, every internal request, every handoff carries dozens of small decisions. AI agents make those decisions at machine speed, inside the tools your teams already use, and surface the rest to humans with full context.
Read the situation.
Turn messy emails and half-finished forms into structured intent.
Weigh the tradeoffs.
Combine CRM history, inventory, contract terms, and policy in one reasoning step.
Get it done.
Pull the right system, draft the response, page the right person, log every move.
Not more software, software that understands the work.
What an agent actually is
An agent = LLM + Tools + Loop.
A model to reason, tools to act on your systems, and a loop that repeats until the job is done. Here is that loop in motion.
The brain. Reads input, plans, decides at runtime.
Functions the agent calls: query a DB, send email, page a human, create a lead.
Plan → act → observe → decide → repeat. A chatbot that answers once is not an agent.
Agent reasoning, live
Watch an agent pick tools in real time.
Three scenarios, cycling automatically. Every ▸ line is the agent deciding to call a tool, reading the result, then deciding what to do next.
The Capability Ladder
Same agent. Five levels of real work.
Inform → Qualify → Operate → Triage → Anticipate. Most clients start at Level 1 and climb. Levels 2–4 land in weeks. Level 5 is the north star.
What changes for your business
Hours back. Decisions made. Tempo restored.
Per MIT Sloan Management Review, organizations with strong financial performance are 4.5× more likely to have invested in agentic AI architectures.
First-touch resolution
Tier-1 questions answered in seconds, with citations. Your team gets the hard cases, not the easy ones piling up.
Operational tempo
Incidents triaged and pre-tagged before a human reads the message. Response time stops depending on who's at their desk.
Compounding value
Add a tool, edit a policy sentence, the agent picks it up next run. No retraining. No quarterly migration project.
Industries
Where we go deep.
Verticals where content is dense, workflows are specialized, and generic AI suites miss the details that matter.
Publishing
Editorial assistance, rights & royalties, metadata & tagging, author communications, subscription support, content repackaging across print, web, and audio.
Education
Teacher admin relief, student support, admissions & enrollment ops, adaptive tutoring, accreditation and compliance workflows. Agents that handle the work behind the classroom.
Healthcare
Clinical intake, care coordination, prior authorization, documentation support, patient communications, and population health analytics. All inside HIPAA-aware guardrails.
Also deployed in finance, retail, manufacturing, professional services and more. See all industries →
The Quantilus lineage
Twenty years of enterprise systems.
Now pointed at agents.
We've forward-deployed engineers inside Fortune 500 operations since 2004, across finance, media, retail, government, and healthcare, long before it had a name. quantilus.ai points that experience at business AI agents, and we stay independent: we deploy whatever model fits your data and budget (open-weight in your VPC, Claude via Bedrock, GPT via Azure OpenAI, Gemini via Vertex), not whatever a single vendor sells.
Common Questions
What buyers ask before they call.
Does Quantilus build AI agents or only chatbots?
Quantilus builds true AI agents that combine an LLM with tools and a reasoning loop. The agent plans, calls tools (CRM, ERP, email, Slack, databases), reads results, decides what to do next, and repeats until done. A single trigger can fire zero, one, or many tool calls.
How much does an enterprise AI agent cost?
Engagements run in three phases: a fixed-scope Strategy & Discovery Sprint (4–8 weeks), an Agent Build (3–6 months to production), and ongoing Operations (monthly retainer). Pricing is scoped to your workflow, data, and SLA, and a Strategy Sprint produces a firm, procurement-ready quote for everything that follows. See how we engage →
Can Quantilus integrate AI agents with CRM and ERP systems?
Yes. Pre-built connectors for Salesforce, HubSpot, NetSuite, Workday, ServiceNow, Zendesk, Slack, Epic, Cerner, Canvas, Blackboard, Moodle, PowerSchool, WordPress VIP, Arc XP, Klopotek, and others.
Does Quantilus support human-in-the-loop approvals?
Yes, it's a core design principle. Agents handle routine tasks autonomously and route judgment calls (pricing, contracts, regulated communications, sensitive escalations) to the right person with full context. Every action logged with reasoning for audit.
Ready to move from chatbot to agent?
Bring us a workflow. We'll show you the agent architecture that runs it, and what Levels 1 through 5 look like for your business.
Start a conversation