NexDooo
Patterns

What we ship, in patterns.

Until we can name names, here's the more useful thing: the recurring agentic patterns we deploy, what they do, when they're worth it, and when they're not.

PTN · 01

The Triage Agent

Inbox / queue routing

Problem

A high-volume inbox or queue (sales, support, ops) where humans spend most of their time deciding who should handle what — and the routing logic has too many edge cases for rules alone.

What we ship

An agent that classifies, enriches, drafts a first response, and routes — with confidence scoring and a clean human-handoff path for low-confidence cases.

Signal it's working

  • 30–70% reduction in time-to-first-response
  • Human attention re-routed to high-value cases
  • <2% misroute rate after eval tuning

When it's the wrong answer

If routing volume is low or rules-based, this is overkill. A few well-written rules will outperform an agent and cost nothing to run.

PTN · 02

The Knowledge Copilot

RAG over messy enterprise knowledge

Problem

Years of accumulated documentation across SharePoint, Drive, Confluence, intranet, DMS — and no one can ever find the right answer. New hires take months to onboard.

What we ship

A copilot embedded in Slack / Teams / your intranet that answers from your sources with citations, refuses when it doesn't know, and gets re-evaluated as your knowledge changes.

Signal it's working

  • First-week onboarding queries answered without escalation
  • Citation-backed answers, not hallucinated paraphrasing
  • Freshness pipeline keeps it accurate as content changes

When it's the wrong answer

If your knowledge is already well-organized in a real KB with good search, the marginal lift is small. Fix retrieval first.

PTN · 03

The Document Workflow Agent

Extract → validate → route → confirm

Problem

Inbound documents (invoices, POs, contracts, claims, KYC packs) that humans open, read, type into a system, and route. High volume, repetitive, exception-heavy.

What we ship

An end-to-end agent: extracts structured data, validates against business rules, posts to the system of record, escalates exceptions to a named human, logs every step for audit.

Signal it's working

  • 60–90% of documents handled without human touch
  • Audit-grade trace per document
  • Exception queue stays small and named

When it's the wrong answer

If document variability is extreme and volume is low, an agent isn't worth the build cost. A skilled human + a good template is faster.

PTN · 04

The Customer-Ops Copilot

Embedded in CRM / helpdesk

Problem

Customer-facing teams drown in context-switching: pulling history from CRM, knowledge from KB, status from ops systems, and writing replies that match a tone of voice nobody documented.

What we ship

A copilot inside the CRM or helpdesk that drafts responses, surfaces context, suggests the next action, and learns the tone of voice from your best operators.

Signal it's working

  • Average handle time down 25–50%
  • Quality stable or up (CSAT, QA scores)
  • Best operators stay best — copilot lifts the median

When it's the wrong answer

If you don't have clean CRM data or a coherent knowledge base, building this first is putting paint on rust. Start with the data.

PTN · 05

The Internal Researcher

Cross-system briefing agent

Problem

A senior person needs a briefing — on a customer, a deal, a risk, a regulation — and getting it requires opening eight tabs and reading for an hour.

What we ship

An agent that pulls from your CRM, data warehouse, document stores and the public web, writes a structured brief with citations, and improves with every reviewed brief.

Signal it's working

  • Briefs delivered in <5 minutes vs. 60+
  • Citations every senior reviewer trusts
  • Reused across sales, account management, ops, exec

When it's the wrong answer

If the brief format isn't standardized and the underlying systems are fragmented, this becomes a 'cool demo' that nobody opens twice. Standardize the brief first.

Want to see one of these running?

We'll walk you through a live one and the eval suite behind it. Under NDA, in 30 minutes.