smart_toy Agntic Agent

A coworking agent that
actually knows your business.

Persistent memory. Document intelligence. Human-in-the-loop approval. Deployed under your brand and getting smarter with every conversation.

ChatGPT forgets you exist.
Agent doesn't.

Three layers of persistent intelligence that make the AI smarter with every interaction.

person_book

Your Profile

Learns who you are — your role, preferences, communication style, and key decisions. Facts are extracted automatically from conversations, reinforced over time, and confirmed by you when the AI is confident enough to ask.

check Confirmed vs. inferred facts
check Reinforcement scoring — patterns strengthen over time
check Natural decay — stale facts fade, current ones persist
library_books

Your Knowledge Base

Every document your organization has — contracts, handbooks, meeting notes, product specs — indexed and searchable by meaning, not just keywords. The AI answers from your actual data, not guesses.

check Hybrid search — semantic understanding + exact keyword matching
check Confidence scoring — the AI knows when it doesn't know
check PDFs, Word docs, spreadsheets, images — 12+ formats
forum

Your Conversations

Past interactions compressed and retained across sessions. The AI remembers what you discussed last week, connects the dots, and picks up where you left off.

check Automatic compression — older context summarized, recent kept in full
check Cross-session continuity — no "remind me what we discussed"
check Entity extraction — key facts survive even as conversations compress

The agent proposes.
You decide.

Every action the agent takes — from editing a document to sending a summary — is surfaced as a proposal. Your team reviews and approves before anything changes. No autonomous actions. Ever.

verified_user

No autonomous actions. Every output requires explicit human approval before it takes effect.

account_tree

Accountability by design. Clear line of ownership at every step. The AI assists — humans decide.

trending_up

Trust earned, not assumed. Consistent, transparent behavior builds confidence over time.

Agent Proposal
- Liability cap: 6 months of fees
+ Liability cap: 12 months of fees

Source: Firm_Standard_Clauses.pdf, Section 7.2

Agent vs. generic AI
Agntic Agent Copilot Claude ChatGPT
memoryPersistent memory Cross-session profiles None Basic memory Basic memory
searchDocument search Hybrid RAG + confidence File upload only File upload only File upload only
lockData privacy Your environment Cloud Cloud Cloud
paletteYour brand White-labeled Microsoft Anthropic OpenAI
manage_accountsManaged service Fully managed Self-service Self-service Self-service

Three phases.
One continuous engagement.

From first conversation to deployed agent in weeks, not months.

Phase 1

Discovery

We audit your workflows, define use cases, and establish the baseline output your retainer will be scored against.

  • check Workflow audit
  • check Use case definition
  • check Output baseline
Phase 2

Build & Deploy

We ingest your documents, configure the agent, set up the profile system, and deploy under your brand.

  • check Knowledge vault setup
  • check White-label branding
  • check Team onboarding
Phase 3

Retainer

Ongoing management — vault updates, model upgrades, new tools, and quarterly performance scoring.

  • check Vault maintenance
  • check Quarterly scoring
  • check Continuous upgrades

Simple, transparent pricing.

Discovery fee applies toward build cost for clients who move forward.

One-time

Discovery

$1,500 – $3,000

Workflow audit, use case definition, and output baseline. 1–2 weeks. Applies toward build cost if you proceed.

Book Discovery
Monthly

Retainer

$2,500 – $5,000/mo

Vault maintenance, model upgrades, quarterly performance scoring, and continuous tool library updates.

Get Started

Final pricing depends on team size, document volume, and integration scope.

Ready for an AI that
actually knows your team?

Start with a discovery call. We'll map what your team needs and show you what persistent context looks like in practice.