AI that does real work, not a chat widget bolted on top.
Team Disquantified designs and builds the automations running behind your site: lead qualification, content pipelines, support, and internal tools trained on your own data — wired into the stack you already use, not a replacement for it.
Automations built on the same foundation as everything else we ship.
AI systems at Team Disquantified aren't a bolt-on demo — they're built on the same technical foundation our web development and SEO teams use, so an agent never becomes an orphaned side project.
Custom AI agents & chat assistants
Trained on your docs, pricing, and policies — not a generic wrapper around a public model with no context on your business.
Workflow & ops automation
Lead routing, ticket triage, and back-office tasks handled automatically, with a human in the loop wherever the stakes call for it.
AI-assisted content pipelines
Drafting, briefing, and structuring content at scale, with editorial review built into the workflow instead of skipped for speed.
Internal tools & integrations
Agents wired directly into your CRM, helpdesk, and internal dashboards — not a standalone tool your team has to remember to check.
Data & knowledge-base wiring
Retrieval built on your actual content, so answers cite your policies and product details instead of a plausible-sounding guess.
Monitoring, guardrails & handoff
Logging, escalation rules, and a clear human handoff path, so an agent going off-script never becomes a silent liability.
The same four-stage sequence, every project.
AI engagements follow Team Disquantified's standard process — skipping straight to "build the agent" is usually why AI pilots stall out before they ever ship.
Audit & use-case scope
We review your workflows, data, and existing stack, then pick the use case with the clearest return before writing a line of prompt or code.
Design & build
Agent logic, data wiring, and guardrails are built together, tested against real conversations and edge cases, not a happy-path demo.
Testing & guardrails
Adversarial testing, escalation rules, and a monitored staged rollout so the system earns trust before it's fully hands-off.
Handoff or ongoing care
You get documentation and admin training to run it yourselves, or roll into Team Disquantified's Growth package for ongoing tuning and new workflows.
AI systems Team Disquantified has shipped lately.
A few of the agents and automations we've built, and the outcome each one was actually measured against.
Fernbridge Dental
AI intake & scheduling assistant that qualifies new patients and fills the calendar without front-desk back-and-forth.
Loop Analytics
AI-assisted content pipeline that drafts and structures posts against a topical map, with editorial review built in.
Northline Outdoor
Lead-qualification agent on the storefront that routes high-intent shoppers to a human before cart abandonment.
AI systems packages, scoped after the audit.
Every engagement starts with a free technical audit. These are starting points — your quote is scoped to the actual use case.
Single Agent
For one well-defined use case: a support assistant, an intake bot, or a single automated workflow.
- Use-case & data audit
- One agent or workflow, built & tested
- Guardrails & escalation rules
- 2 weeks of post-launch tuning
Automation Suite
Multiple agents and workflows wired into your CRM, helpdesk, and internal tools as one connected system.
- Everything in Single Agent
- 2–4 agents or workflows
- CRM / helpdesk integrations
- Monitoring & monthly tuning
- 60 days of post-launch support
Full Stack Program
AI systems plus web development and SEO, run as one ongoing program instead of three vendors.
- Everything in Automation Suite
- Site & technical SEO work
- Ongoing content & growth reporting
- Dedicated strategy lead
Common questions about AI systems work.
Will an AI agent be trained on our private data?
Yes, where the use case calls for it — retrieval is built on your own docs, policies, and product content, kept inside access controls we scope with you during the audit, not sent off to train a public model.
Which AI models do you build with?
We pick per project — Anthropic Claude and OpenAI models are the most common — based on the use case, latency needs, and your existing stack, not a single default we reach for regardless of fit.
Can this integrate with tools we already use?
That's the point of the integration stage — agents are wired into your CRM, helpdesk, or internal dashboards directly, so nobody has to check a separate tool to see what happened.
Can this connect to the web development and SEO work you also do?
Yes — that's the reason Team Disquantified runs web development, AI, and SEO under one team instead of handing you off between vendors who don't talk to each other.
Tell Team Disquantified what you want automated.
Free 20-minute AI audit — no pitch deck. We'll tell you honestly whether an agent would actually save your team time.