Your Team, Plus an Agency in a Box
Twenty-two AI agents across two pods — Operations and Delivery — each owning a dedicated role and Slack channel. They monitor, triage, draft, build, score, and report around the clock. No agent sends a client-facing message without your approval.
A Coordinated System,
Not a Collection of Chatbots
Each agent owns a specific domain across two pods. The Orchestrator routes and coordinates. Here is how a typical day flows.
Monitors 31+ client inboxes 24/7, cleans spam, tracks SLA clocks. Posts overnight triage report at 8 AM with AI summaries and risk flags.
Runs morning catch-up across three regions: DMs anyone who logged zero hours yesterday. Posts per-region compliance summary and budget status.
Morning briefing with calendar, priority emails, and escalations. Polls Gmail every 2.5 minutes all day — classifying, labeling, and drafting replies in the CEO's voice for approval.
Knowledge Base answers team questions across 17+ indexed collections with source citations. Prospector auto-detects upcoming meetings and delivers pre-meeting intelligence briefings.
Multi-stage content pipeline with 4D scoring (SEO/GEO/AEO/E-E-A-T). Publishes approved posts to HubSpot and WordPress. Triggers content network distribution.
Social Media Expert processes queued LinkedIn, Reddit, and Medium posts with platform-native adaptation. Analytics tracks AI visibility and flags anomalies.
HubSpot Builder runs 47-benchmark portal audits and builds assets via API. Brand Guardian scores all content for voice compliance and risk before publication.
Client Experience posts the day's summary: meeting counts, project activity, email volumes. CEO Assistant delivers wrap-up: inbox health, pending drafts, decisions logged.
One Conversation. Every Answer.
Every request flows through the Orchestrator. Type a message in Slack and it classifies intent, routes to the right specialist agent, and brings back the answer. Multi-domain requests get coordinated across agents into a single response.
Invisible routing means your team never needs to know which agent to ask. Thread ownership ensures conversations stay coherent. Ambiguous requests get exactly one clarifying question before routing.
What it replaces
The mental overhead of checking ClickUp, then your inbox, then your CRM. One question in Slack, one answer.
Intelligent Routing
AI-powered intent classification routes Slack messages to the correct specialist. 85%+ confidence routes instantly; ambiguous requests get one clarifying question.
Cross-Agent Coordination
Multi-domain requests are broken into subtasks, distributed to specialists, and reassembled into a unified response.
Thread Ownership
Once an agent claims a thread, it owns it for 24 hours. No agent-hopping, no confusion mid-conversation.
Health Monitoring
Real-time awareness of all 22 agents, their capabilities, channels, and operational status. Unresolvable issues escalate to leadership.
What's our SLA status on Acme Corp and did we log time on their project yesterday?
Every Answer Your Team Needs. One Slack Message Away.
Semantic search across 17+ indexed collections: HubSpot documentation, meeting transcripts, Notion wikis, Google Drive, blog posts, LinkedIn content, and more. Backed by ChromaDB with local embeddings for sub-second retrieval.
Beyond document search, three specialized lookup skills query live business systems: agency operations data (clients, tasks, team), HubSpot CRM records (contacts, deals, tickets), and email correspondence history.
What it replaces
The 'Hey, do you know where...' interruptions that hit your senior team 5-10 times daily. The 20-minute doc searches. The knowledge gaps that grow when tribal knowledge never gets written down.
17+ Indexed Collections
HubSpot KB, API docs, community forums, meeting transcripts, Notion, Google Drive, blog posts, LinkedIn content, and more. Daily and weekly sync cycles keep everything current.
Live Business Lookups
Direct queries against agency operations, HubSpot CRM, and email history. Client info, deal status, task searches, and correspondence in real time.
Privacy Guardrails
Private CEO collections are cryptographically separated. Shared agents cannot query personal data under any circumstances. Write-gated architecture prevents data corruption.
Sourced Attribution
Every answer cites the specific collection, document, and data point it came from. Grounded answers, not hallucinations.
The most deeply integrated agent in the platform. 2 to 3 hours saved per day for the agency owner.
700+ Email Actions Per Day. Zero Sent Without Your Approval.
The agent agency owners feel most immediately. It manages the executive inbox, drafts replies in your exact voice (learned from 40+ real email samples and continuously refined), surfaces meeting follow-ups with CRM deal creation, tracks decisions, and delivers structured daily briefings.
Polls your inbox every 2.5 minutes using incremental sync. Each email runs through multi-stage classification: spam, newsletter, system email detection, and domain-based auto-labeling. Newsletters get auto-unsubscribed. Real emails get draft replies in your writing style.
Drafts are enriched from a five-source context pipeline: conversation thread, client history, RAG knowledge base, entity memory, and proof points library. Every draft appears in Slack with Approve, Edit, Redraft, Skip, and Archive buttons. A weekly style analyzer reviews your corrections and updates the voice profile.
700+
Email actions per day
5-Source
Context pipeline
What it replaces
1 to 2 hours of daily email triage. 30 to 45 minutes of meeting follow-up. 15 to 30 minutes checking unanswered Slack threads.
What it does not do: it never sends an email, creates a calendar event, or posts an external message without explicit human approval via Slack buttons.
Draft Reply
To: sarah@client.com
Client: ACM-2024
Subject: RE: Q2 Deliverables
Hi Sarah, thanks for the timeline update. We have reviewed the revised schedule and the adjusted dates work for our team. We will have the landing pages ready by March 28 as discussed.
Human approval required
Every Client Inbox. Every SLA Clock. Nothing Missed.
Monitors 31+ client inboxes through Front with 60-second polling cycles. Enforces a four-tier SLA escalation model (4h/6h/7h/8h), cleans spam and phishing, drafts context-aware replies, scores client health across the portfolio, and triages overnight activity so the team starts every morning with a clean slate.
Monitors all client inboxes every 60 seconds. Rule-based classifier with AI fallback identifies spam, phishing attempts, brand-spoof attacks, and newsletters. Auto-cleanup archives junk while exempting security-sensitive messages (password resets, 2FA codes, e-signature notifications).
Conversation-level deduplication prevents re-processing of handled emails.
What it replaces
Manual scanning of dozens of inboxes each morning. The anxiety of wondering whether something fell through the cracks.
Even one prevented SLA breach per week justifies the entire agent. A single missed client email can cost hours of damage control.
SLA Response Timeline
SLA met with 1h 48m to spare.
Core compliance logic runs entirely on pure Python. Zero AI model costs.
Every Timer. Every Description. Every Budget. Tracked.
The agency's time tracking compliance engine and project builder. Monitors ClickUp time entries in real-time across three global regions, enforces logging discipline through private DMs (never public shaming), tracks budget utilization at task and client level, and converts SOW documents into complete ClickUp project plans.
Real-Time Compliance
Polls ClickUp every 60 seconds. Detects missing hours, late entries, blank descriptions, and suspiciously rounded entries. Private DMs preserve team dignity while enforcing accountability.
Three-Region Catch-Up
At 8:30 AM local time per region (NAM, EMEA, APAC), checks whether each team member logged time yesterday. Egypt team respects Sun-Thu schedule. Per-region summary classifies each person as OK, Low, or Missing.
Budget Monitoring
Every 10 minutes, checks running timers against task estimates. Warning at 90%, critical alert at 100%. Client-level monthly tracking with configurable billing cycles catches overruns before they hit the invoice.
Project Builder
Detects new work orders in ClickUp, extracts scope from SOW documents, generates complete project plans with tasks, dependencies, time estimates, and three-tier skill assignments. Interactive Slack flow for review and approval.
End-of-Day Summary
Posted at 4:30 PM ET: team-wide hours logged, compliance rates by region, running timers still active, and unresolved flags from the day.
What it replaces
The PM spending 3 to 5 hours per week manually chasing missing time entries and spot-checking budgets after the fact.
For a 15-person team, capturing just 15 minutes per person per day that would have gone unlogged is worth approximately $4,700 per month at a $75/hour blended rate.
Time Compliance
Region: North AmericaLast updated: 8:30 AM EST
Meeting Prep, Lead Enrichment, and Ghost Hunting. On Autopilot.
Handles the research work that would otherwise require a dedicated BDR: auto-detects upcoming external meetings and delivers multi-source intelligence briefings, enriches leads through a multi-API pipeline, generates proposals, and re-engages dormant prospects.
The Ghost Hunter system scans five data sources (HubSpot deals, contacts, Gmail, meeting transcripts, PandaDoc) to find contacts who have gone silent, generates personalized re-engagement emails, and enforces 60-day cooldowns to prevent over-outreach.
Zero-Config Meeting Prep
Automatically detects upcoming external meetings on Google Calendar. Gathers company intel, LinkedIn profiles, HubSpot history, partnership tier, and deal status. Briefings appear in Slack before each meeting.
Multi-API Enrichment
Tavily for web intelligence, Hunter.io for contact discovery, ZeroBounce for email validation, Personize for relationship context. 7,300+ partner agencies and 2,800+ contacts indexed.
Ghost Hunter
Five-source dormant prospect scanning: stale deals, silent contacts, unreplied emails, unfollow-up meetings, unsigned proposals. Personalized re-engagement with 60-day cooldown enforcement.
Proposal Generation
Context-driven proposals mapping prospect needs to service offerings. All proposals require CEO sign-off before delivery.
What it replaces
A dedicated BDR spending 10 to 15 minutes per company on manual research across Hunter, ZeroBounce, LinkedIn, and your CRM.
Enrichment Pipeline
7,300+
Companies
2,880+
Contacts Found
397
Emails Validated
310
Valid (78%)
Identified
Decision-Makers
Always Watching. Auto-Fixing.
Multi-instance security watchdog running five checks every two minutes: file permissions, open ports, log integrity, config integrity, and config drift. Weekly deep audits add RAG access control, database access, dependency vulnerabilities, and threat intelligence.
When it finds issues, it fixes autonomously when safe (permission drift, config corrections) and escalates with evidence when not. Cross-instance monitoring enforces read-only boundaries and delivers remediation scripts to auxiliary instances. Service watchdog checks all services every 60 seconds and auto-restarts crashes.
Two-Minute Monitoring Cycle
Five checks every 120 seconds with fingerprint-based deduplication. Issues detected within minutes, not hours. Four-hour heartbeat confirms continuous operation.
Auto-Remediation
Permission drift, config issues, and known patterns fixed autonomously. Successful fixes saved for future reuse. AI diagnostics pipeline handles novel issues with rate-limited quality model calls.
Weekly Deep Audit
Ten comprehensive checks including dependency CVE scanning, RAG access control verification, database permission auditing, and threat intelligence correlation. Persistent markdown reports with severity-rated findings.
Cross-Instance + Service Watchdog
Monitors all platform instances, enforces access boundaries, and detects drift. Service watchdog auto-restarts crashes in under 60 seconds with threaded failure/recovery alerts.
What it replaces
The security work that never gets done: vulnerability scanning, permission audits, dependency updates, infrastructure monitoring, and the service crashes nobody notices until clients complain.
Security Check Status
Cycle: 120sThe Agent That Keeps Everything Else Running.
54 continuous maintenance tasks across 15 categories: service lifecycle, self-healing, data hygiene, credential health, cross-instance monitoring, documentation, cost analysis, backup and recovery, context management, incident analysis, and more.
When canned fixes fail, a three-tier AI diagnostic pipeline gathers context, distills the problem, diagnoses the root cause, executes remediation with safety guardrails, and verifies the fix. Learned fixes ensure the same issue never requires investigation twice. Critical alerts from across all agents surface to a dedicated channel with 30-minute deduplication.
Self-Healing Infrastructure
Crashed services restarted, stale processes cleaned, WAL bloat prevented, stuck pipelines recovered, missed crons re-run, config permissions repaired. Fix first, report second.
AI Diagnostics Pipeline
Five-step escalation: context gathering, distillation, root cause diagnosis, safe execution (17 approved command prefixes, no shell operators), and verification. Rate-limited to 6 quality model calls per hour.
Cross-Instance Monitoring
Config drift detection, read-only enforcement, runner health validation, and log permission reconciliation across all platform instances.
Critical Alert System
SLA breaches, upset clients, revenue risks, and service crashes reach the right people immediately. 30-minute deduplication prevents alert fatigue.
What it replaces
The maintenance that accumulates silently: growing logs, expiring credentials, stale docs, unpatched dependencies, and the slow degradation that causes outages.
Upkeep Tasks
Cycle: 15 minThe Global Fallback That Knows Where to Look.
The platform's cross-functional research and analysis tool, available to all staff across every Slack channel. Serves as the global fallback when no specialist agent claims a message, answering questions that span multiple domains.
Searches across meetings, Notion, Google Drive, HubSpot KB, client databases, 17+ RAG collections, and the web before answering. Maintains long-term semantic memory that persists across all conversations with all staff. Generates formatted deliverables on request: Excel, CSV, PDF, Word, and PowerPoint.
Multi-Source Research
Queries meeting transcripts, documents, knowledge bases, CRM data, and the web. Every answer cites specific data points rather than relying on general knowledge.
Semantic Memory
Facts learned in one conversation become context for future conversations with anyone. Automatic retrieval, storage, and cross-user benefit.
Available Everywhere
Responds in any channel where no specialist claims the message. No channel restrictions, no routing required.
Rich Output Generation
Excel workbooks, CSV files, PDF reports, Word documents, PowerPoint presentations, and Markdown summaries on demand.
What it replaces
The cross-system questions nobody can answer quickly. The 'let me check three different tools and get back to you' delays.
Research Sources
Global FallbackFrom Topic Research to Published Post. Scored, Optimized, Human Approved.
End-to-end blog content pipeline: topic ideation with cross-client deduplication, AI-powered drafting, humanization via local LLM to reduce AI signal, four-dimension scoring, featured image generation, and CMS publishing to HubSpot or WordPress. Every piece requires explicit human approval.
Content audit pipeline crawls existing published posts, scores across all four dimensions, and proposes targeted fixes with before/after comparison. Per-client ICP targeting calibrates content to five buyer segments.
Multi-Stage Blog Pipeline
Topic planning, keyword intelligence (DataForSEO), AI drafting, humanization pass (local Qwen 2.5 14B), 4D scoring, image generation (FLUX.1/Gemini), and CMS publishing. Auto-optimization if below 70 threshold.
4D Composite Scoring
SEO (40%): on-page analysis across 10 checks. GEO (30%): AI citability using the Princeton 9 methods. AEO (20%): featured snippet readiness. E-E-A-T (10%): experience, expertise, and source citations. Plus the 80-criteria CORE-EEAT benchmark.
Content Audit and Fix
Crawls sitemaps, CMS, and HubSpot blog API. Scores every published post. Generates audit reports with severity-ranked issues. Approved fixes include real internal links, structured data, and readability improvements with rescoring.
Voice and Brand Enforcement
Four voice attributes (Confident, Direct, Warm, Expert) with forbidden word lists and required phrases. Per-client ICP targeting across five buyer segments. Cross-client topic deduplication prevents overlap.
LinkedIn and Social Content
Meeting transcript triage extracts content atoms. Platform-optimized formatting with dedicated voice profiles. Approval workflow before any publish.
AI Image Generation
Featured and inline images generated via FLUX.1 or Gemini Imagen. Image previews posted as Slack threads for approval.
What it replaces
The content that takes weeks to plan, write, score, and publish. The blog posts decaying in search rankings because nobody audits them.
Content Pipeline
Transcript Triage
Meeting scanned
Topic Extraction
3 ideas identified
Draft Generation
Blog post drafted
Voice Matching
Brand voice applied
Human Review
Awaiting approval
Publication
Queued
Pending Approval
Ask It to Build a Workflow. It Builds the Workflow.
Describe what you need in Slack, confirm the portal, and the agent builds it directly in HubSpot via the API. It also runs portal audits with a 47-benchmark scoring system across all HubSpot hubs, producing client-ready XLSX reports with executive summaries, severity-ranked findings, and prioritized roadmaps.
Tell the agent what you need: 'Build a welcome workflow that sends three emails over two weeks when someone fills out the contact form.' It translates your description into a build plan, confirms the target portal, and executes through the HubSpot API.
Builds eight asset types: marketing emails, landing pages, site pages, workflows, forms, blog posts, lists, and custom properties. A three-step Slack wizard collects details. After building, a verification step pulls the asset back and confirms correctness.
8
Asset types supported
3-Step
Slack wizard
What it replaces
Hours of manual HubSpot configuration per client. The repetitive build work that eats capacity for strategy.
Build Request
Asset: Workflow
Portal: 44******
Welcome sequence: 3 emails over 14 days triggered by contact form submission. Email 1 on day 0, Email 2 on day 3, Email 3 on day 14.
Portal confirmation required before any write
Supported Asset Types
Delivery Pod
13 specialist agents covering every marketing and delivery channel. Each brings deep domain expertise and works as a conversational expert in Slack.
Addressing the Elephant in the Room
Is Giving AI Access to My Systems Safe?
Our Governance & Safety deep dive covers how Structured Agents use deterministic code for 70% of all operations, require human approval on every client-facing action, and enforce consistent governance policies across every agent.
Agents That Think Ahead
Agents don't just execute tasks. They analyze operational data, identify patterns, and propose new capabilities you haven't thought of yet.
Early Warning: Budget Overruns Linked to Missing Time Entries
I noticed that tasks going over budget tend to also have incomplete time tracking, which means the team cannot catch overruns early. I can generate a daily report for project leads showing which tasks are both over budget and missing time entries, so problems surface before they hit the monthly review.
Even a 10% improvement in early detection could save 20 to 40 billable hours per month in scope creep and write-offs.
Combined Impact
0 to 150+
Hours Recovered Per Week
Across ops and delivery teams
0+
Email Actions Per Day
Classified, labeled, drafted, archived
0
Deployed Agents
Operations Pod and Delivery Pod
0
Messages Sent Without Approval
Every client-facing action requires a human tap
| Agent | Hrs / Week |
|---|---|
| Orchestrator | 2.5 to 5 |
| Knowledge Base Agent | 2 to 4 |
| CEO Assistant | 10 to 15 |
| Client Experience Agent | 5 to 10 |
| PM Agent | 3 to 5 |
| Prospector Agent | 15 to 25 |
| Security Agent | 3 to 5 |
| Ops Intelligence Agent | 3 to 5 |
| Reasoning Agent | 1 to 2 |
| Content Expert | 10 to 20 |
| HubSpot Builder Agent | 5 to 10 |
| Agent | Hrs / Week |
|---|---|
| Strategist | 3 to 5 |
| Social Media Expert | 5 to 10 |
| PPC / SEM Expert | 3 to 5 |
| SEO Specialist | 3 to 5 |
| Email Marketing Expert | 3 to 5 |
| Analytics Agent | 3 to 5 |
| Brand Guardian | 2 to 4 |
| Creative Designer | 5 to 8 |
| Video Expert | 3 to 5 |
| Podcast Expert | 2 to 4 |
| Web Dev Expert | 3 to 5 |
Orchestrator
2.5 to 5Knowledge Base Agent
2 to 4CEO Assistant
10 to 15Client Experience Agent
5 to 10PM Agent
3 to 5Prospector Agent
15 to 25Security Agent
3 to 5Ops Intelligence Agent
3 to 5Reasoning Agent
1 to 2Content Expert
10 to 20HubSpot Builder Agent
5 to 10Strategist
3 to 5Social Media Expert
5 to 10PPC / SEM Expert
3 to 5SEO Specialist
3 to 5Email Marketing Expert
3 to 5Analytics Agent
3 to 5Brand Guardian
2 to 4Creative Designer
5 to 8Video Expert
3 to 5Podcast Expert
2 to 4Web Dev Expert
3 to 5Total
80 to 150+ hours per week
At a $75/hour blended agency rate, 80 to 150+ hours per week represents $312,000 to $585,000+ in annual capacity added to your agency without hiring.
Production Numbers, Not Projections
700+
email actions processed daily across 9 agents with zero autonomous sends.
Source: Agenteous production data, 12+ months
97%
first-round accuracy rate across 80 test scenarios, 100% on second round.
Source: Agenteous quality assurance testing
25-35%
of agency time goes to non-billable admin that AI agents can recover.
Source: Agency industry benchmark surveys
“62 of my customers are HubSpot agencies. All I do is talk to HubSpot agencies.”
What You Should Know Before We Talk
It Is Not Fully Autonomous
Every client-facing action requires human approval. The system surfaces decisions; humans make them.
It Is Not a Replacement for Your Team
Agenteous handles operational overhead so your team can focus on strategy, creativity, and client relationships.
It Is Not Plug-and-Play
Agenteous requires configuration to match your tools, workflows, team structure, and communication style. This is an operations platform configured to your agency.
It Is Not a Chatbot
Most of what Agenteous does happens in the background: email classification, SLA monitoring, time tracking, prospecting, inbox cleaning. The Slack interface is just one surface.
Common Questions
Through the Orchestrator, which serves as the central routing layer for all 22 agents. When a query spans multiple agents, the Orchestrator routes the request to the right specialist, coordinates responses, and assembles a unified answer. Thread ownership ensures conversations stay coherent. This centralized orchestration eliminates the need to check multiple tools manually, saving 30 to 60 minutes of context-switching per day.
Yes. Every foundation plan includes 4 infrastructure agents (Orchestrator, Knowledge Base, Security, Ops Intelligence) plus 3 specialists of your choice. Most agencies start with the agents that address their biggest operational pain — typically CEO Assistant, Client Experience, and Content Expert — then add more specialists at $400/mo (standard) or $700/mo (premium) as they see results.
Every client-facing output goes through human approval in Slack before it reaches anyone. If you edit a draft, the correction data is stored per client and improves future drafts, with a 97% accuracy rate after the initial calibration period. The CEO Assistant maintains a voice profile learned from 40+ real email samples and continuously refined from editorial corrections.
Foundation pricing starts at $1,800/mo (Starter, up to 15 active clients) and scales by agency size: Boutique ($3,000/mo, 16–50 clients), Pro ($4,500/mo, 51–200 clients), Enterprise (from $7,000/mo, 201+ clients). Every foundation includes infrastructure, 4 core agents, and 3 specialists of your choice. Add more at $400/mo (standard) or $700/mo (premium). AI token costs are separate and BYO — approximately $6/day at full scale with zero markup. See the full pricing breakdown at /pricing.
Yes, but only with explicit confirmation at every step. Read-only audits require no API key and use a 47-benchmark scoring system to produce client-ready XLSX reports. Write operations go through a secure modal for API key submission, explicit confirmation with portal ID verification, and a post-build verification step that pulls the asset back to confirm correctness. The agent builds eight asset types including workflows, emails, forms, and landing pages.
The architecture is integration-agnostic. Adapting to alternative platforms (Asana instead of ClickUp, Help Scout instead of Front) is part of the implementation process.
Slack is currently required. The entire approval framework, notification system, and interactive workflows are built on Slack.
Implementation involves configuring integrations, customizing agent behavior, building the executive voice profile, and running a supervised break-in period. Initial deployment takes six weeks.
Yes. The Knowledge Base and Reasoning agents are available to the entire team through Slack. The PM Agent sends compliance reminders directly to individuals. The Content Expert surfaces drafts for review. The Orchestrator handles general queries from anyone.
Agenteous is fully managed in the cloud. We handle all infrastructure, updates, monitoring, and scaling. No hardware to buy or maintain.
Most agencies start with the Operations Pod (CEO assistant, time tracking, knowledge base) and expand from there. The full platform runs 22 agents across two pods — 9 in Operations and 13 in Delivery. Start where the pain is biggest: if operations are drowning, start with Operations Pod. If content and marketing delivery are the bottleneck, start with Delivery Pod. Add the second pod when ready.
No. Agenteous agents handle repetitive operational tasks: classifying emails, enforcing time entries, enriching prospects, monitoring SLAs. They free your team to do the strategic and creative work that requires human judgment. The goal is recovered capacity, not headcount reduction.
Individual AI tools handle one task in isolation. An AI operations platform coordinates multiple specialized agents across a shared knowledge base, with unified governance, audit trails, and human approval workflows. The Orchestrator handles routing so you do not have to glue tools together manually.
See the Agents Running Live
We show you the live system: Slack channels, email pipeline, knowledge base, time tracking enforcement, and approval flows. Running on real client data.
Every agent described on this page runs in production today.