Autonomous AI Agents
AI workers that take action across your tools — Jira, Asana, Linear, Salesforce, HubSpot, GitHub, Notion, Stripe, Intercom, Zendesk, and more. They live where your team works (Slack, Microsoft Teams, email, or a custom dashboard) and run 24/7 inside the rules you set.
A chatbot answers questions when asked. A workflow tool (Zapier, Make) runs pre-defined rules when triggered. An agent decides what to do on its own — based on goals you give it and rules you set. Think of an agent as a junior team member specialized in one job: triaging tickets, generating reports, monitoring data, drafting responses. Works 24/7. Never forgets context. Escalates to a human when it hits something outside its scope.
What agents actually do — real examples
- Ticket triage agent: When a Jira/Linear/Asana ticket comes in, the agent reads it, classifies it (bug / feature / support), routes it to the right team's Slack channel, tags the right human, and posts a one-line summary. Escalates anything ambiguous.
- Customer support draft agent: When a ticket lands in Intercom or Zendesk, the agent drafts a response based on past resolutions, posts it for human approval in Slack, and either ships on approval or escalates to a senior agent if the customer signal is unusual.
- Monday morning rollup agent: When Monday morning arrives, the agent pulls last week's metrics from Stripe, HubSpot, and Linear, drafts the executive update in the leadership Slack channel, and tags the CEO for review.
- Competitor intelligence agent: When a competitor changes pricing on their website, the agent detects the change, posts to the sales Slack channel with the diff, suggests a playbook response from your knowledge base, and opens a Linear ticket for marketing.
- Knowledge base agent: When a Slack thread reaches a key decision or answers a FAQ, the agent recognizes it, drafts a Notion knowledge base entry, posts a preview in-thread for the author to approve, and publishes on confirmation.
Start here: Discovery Sprint — $7,500 (1 week, fixed-price)
A 1-week strategic audit of your operations and AI opportunities. You receive a written deliverable:
- Operations audit (current state, pain points, time sinks)
- AI opportunity map ranked by ROI
- Integration architecture diagram
- Decision-set specification (what an agent could/should/shouldn't decide)
- Build-vs-buy analysis per opportunity (sometimes Zapier is enough, sometimes a hire is smarter — honest assessment)
- 90-day automation roadmap you can execute with or without us
- Fixed-price proposal for anything we recommend building
The $7,500 is credited toward any engagement we recommend — agent build, MCP server, content operations, or anything else from our service lines. We recommend starting here — it's how we make sure you're spending money on the right thing.
ROI: Avoid spending $25K-$95K on the wrong build. Worth the $7,500 even if you walk away — you keep the 90-day automation roadmap regardless.
Productized Pipelines — fixed scope, fast install
Four pre-scoped solutions to common B2B SaaS problems. Custom-built for your stack. Delivery timeline scoped on kickoff call. Source code is yours. Deploy to your cloud. You own everything.
Weekly Executive Rollup
$4,500 one-time
What changes
Reclaim 3-5 hours/week of leadership time. Decisions made Monday morning, not Wednesday.
- Pulls metrics from up to 5 of your tools (Stripe, HubSpot, Linear, Mixpanel, your data warehouse, etc.)
- Drafts leadership summary with LLM-generated narrative every Monday morning
- Delivered to Slack, Microsoft Teams, email, or custom dashboard — your choice
- Native Block Kit UI (rich formatting, not just text dumps)
- Custom routing (CEO sees one view, CFO sees another)
- Anomaly alerts with configurable thresholds ("your churn rate just doubled" style) — threshold baselines defined on kickoff
- PDF/email export option for board members
- Custom team branding
- Delivery timeline scoped on kickoff call. 90-day post-launch overlap included
ROI: Typical payback <2 months. ~$100K/year of executive time recovered.
Founder Knowledge Base
$7,500 one-time
What changes
Onboard new hires 50% faster. Reclaim 5+ hours/week of founder context-switching ("what did we decide about X?").
- Vector database (Pinecone, Weaviate, Qdrant, or your preferred provider) ingesting Slack threads, Notion docs, Loom transcripts, Google Drive, Confluence — up to 5 sources
- Queryable through Claude as "company memory" — ask anything that's ever been said or written
- Query interface in Slack, Microsoft Teams, email, or custom web dashboard
- Daily incremental ingest with summary memory
- Permission scoping based on source system ACLs available as custom scope
- Auto-tags + categorizes new entries
- Custom branding for your team
- Delivery timeline scoped on kickoff call. 90-day post-launch overlap included
ROI: Typical payback <2 months. ~$125K/year of founder time recovered. New hires ramp faster by querying "company memory" directly instead of interrupting founders for context.
Customer Signal Pipeline
$4,500 one-time
What changes
Catch churn signals 14-30 days earlier. Identify expansion opportunities 2-3x faster.
- Pulls signals from up to 5 sources: Intercom, Zendesk, product telemetry, Stripe, NPS surveys, etc.
- Surfaces churn risk, expansion opportunity, NPS shifts in real time
- Routes to the right CSM in Slack, Microsoft Teams, email, or custom dashboard with playbook recommendations
- LLM-generated narrative ("Account X showed signal Y — recommend action Z")
- Anomaly alerts when key accounts flip red
- Native Block Kit UI with action buttons
- Custom routing rules (different signals go to different teams)
- Custom team branding
- Delivery timeline scoped on kickoff call. 90-day post-launch overlap included
ROI: Earlier signal detection typically enables CSMs to intervene in time to save accounts that would otherwise churn silently.
Competitive Intel Activator
$3,500 one-time
What changes
Respond to competitor moves in hours instead of weeks. Reduce competitor-loss deals 20-40%.
- Wraps your existing competitive intel tool (Crayon, Klue, Kompyte, SEMrush) via MCP
- Posts competitor changes to Slack, Microsoft Teams, email, or dashboard with diff + AI-generated playbook response ("Competitor raised price → here's the talk track for affected accounts")
- Triggers Linear/Jira tickets for marketing follow-up
- You keep your existing tool — we make it actually useful
- Native Block Kit UI with action buttons
- Custom routing (different signal types go to different team channels)
- Delivery timeline scoped on kickoff call. 90-day post-launch overlap included
ROI: Faster competitor response enables better deal defense — your sales team reacts in hours, not weeks, to pricing and positioning changes.
Optional managed retainer for any pipeline: $1,250/month — schema drift handling (when Stripe/HubSpot/Linear change their APIs), prompt iteration, source additions, anomaly investigation, plus 1 new metric or signal added per quarter.
Custom Agent Builds — your specific workflow, your decision rules
When the productized pipelines don't fit, we build agents from scratch.
How we scope Custom Agent Builds: Each engagement is bespoke. Pricing and timeline are finalized on the kickoff call based on integration count, decision-tree complexity, and (for Suite) multi-agent coordination requirements. We flag complexity transparently. If you need standard automation, start with Productized Pipelines or Single Agent above.
Single Agent
$9,000 one-time
What changes
Automates one repeatable job previously assigned to a junior or mid-level role. 24/7 coverage. Never sleeps, never forgets.
- 1 agent, 1 named workflow (e.g., "Triage inbound Jira tickets to the right team")
- 2 integrations (typically your team chat + 1 system of record like Jira, Notion, GitHub, HubSpot, Salesforce, Intercom, or Zendesk)
- Lives in Slack, Microsoft Teams, email, or custom dashboard — your choice
- Bounded decision set defined in scoping (e.g., "auto-route X to team Y; draft a reply for human approval; escalate anything outside the playbook")
- Always escalates to a named human within 1 message hop on anything outside scope
- 30-day rolling memory per user/channel
- Audit log + structured event log
- Read/write permissions scoped to 1 workspace
- Production-ready timeline scoped on kickoff call based on integration complexity and decision-set scope
- 90-day post-launch overlap included (we monitor + tune; no extra charge)
ROI: Automation comparable to the fully-loaded cost of a junior FTE (~$80K/year). Payback in ~4 months.
Specialist Agent
$12,000 one-time
What changes
Replace 1 senior FTE in a specific function. Scales without burnout, vacation, or turnover.
- 1 deep-domain agent built for ONE function (Support, RevOps, Engineering, Marketing, etc.)
- 5+ integrations across that department's stack
- ~20-30 bounded decisions/actions specific to the domain
- Lives where the team works (Slack, Teams, email, dashboard)
- Long-term department knowledge base + 90-day operational memory
- Domain-specific decision tree with multi-step reasoning
- Tiered escalation (handles routine, escalates edge cases)
- Per-action audit log + weekly summary report
- Production-ready timeline scoped on kickoff call based on integration count, domain complexity, and decision-tree depth
- 90-day post-launch overlap included
ROI: Automation comparable to the fully-loaded cost of a senior domain-specialist role (~$150K/year). Payback in ~4 months.
Agent Suite
$24,000 one-time
What changes
Replace 3 coordinated FTEs (e.g., a small support team). One pipeline, three roles, shared context.
- 3 coordinated agents — typically a manager agent + 2 specialists (e.g., Triage → Researcher → Drafter)
- 4 integrations across the 3 agents
- Shared memory: vector store + summary memory + cross-agent handoff with full thread context
- Each agent has its own bounded decision set; manager agent re-routes between specialists
- Tiered escalation — specialist asks manager, manager escalates to human only if neither can resolve
- Cross-agent trace + per-agent action log
- Per-agent role-based credential scoping
- Production-ready timeline scoped on kickoff call based on agent coordination complexity, integration count, and shared-memory architecture requirements
- 90-day post-launch overlap included
ROI: Automation comparable to the fully-loaded cost of a 3-person coordinated team (~$300K/year). Payback in ~2 months.
Optional managed retainers — choose if you don't have internal engineering support
You own the source code on day one. Most clients hand off to their internal team after the 90-day overlap. If you don't have engineers, we offer optional retainers — agents need MORE upkeep than static integrations because of memory drift, prompt regression, and model updates:
- Single Agent retainer — $1,750/month: Memory pruning, dependency patches, integration drift fixes, model migration support, escalation log review, 1 new bounded action per month, monthly performance report.
- Specialist Agent retainer — $2,500/month: All of above + bi-weekly prompt regression testing + 2 new actions per month + monthly business review.
- Suite retainer — $3,500/month: All of above + cross-agent coordination tuning + 3 new actions per month + on-call SLA (24-hr critical response).
Included at every tier
- Free 60-min discovery call before the paid Discovery Sprint
- Source code is yours on day one — no lock-in, no escrow needed
- Bring-your-own-cloud deployment — we deploy to your AWS, GCP, or Azure
- "Bring your own model" option available on request — scoped during discovery (requires a model-agnostic framework like LangGraph or CrewAI rather than the Claude-native Agent SDK)
- 90-day post-launch overlap (we monitor + tune at no incremental retainer charge)
- Per-agent runbook delivered as artifact — what the agent does, decision boundaries, escalation rules, recovery procedures
- Security posture document for your security review
Common questions
Q: How is this different from Zapier or Make?
Zapier and Make run pre-defined workflows on triggers — "when X happens, do Y." Agents make decisions inside scoped goals — "watch this channel, classify what comes in, take the right action from this menu, escalate anything you're not sure about." Workflow tools execute. Agents reason.
Q: How is this different from Lindy, Relevance AI, or Stack AI?
Those are DIY agent-builder platforms — you assemble the agent yourself in their UI. Great for simple, generic agents. Hit a wall the moment you need 5+ custom integrations, complex multi-step reasoning, or anything outside their template library. We build custom agents tailored to YOUR specific tools, decisions, and escalation rules. You own the source code.
Q: How is this different from Sierra, Decagon, or Intercom Fin?
Those are enterprise customer service platforms — $150,000-$400,000+ per year, sold to Fortune 1000 with multi-week procurement cycles. They focus exclusively on customer-facing chat. We focus on internal operations (Jira routing, PR triage, executive rollups, knowledge base maintenance), priced for B2B SaaS companies who need real autonomous workers without enterprise contracts.
Q: What about Slack's native AI agents (Agentforce)?
Slack/Salesforce Agentforce is improving and may eventually cover the basics. Our advantage: we build agents tailored to YOUR specific workflows, not the generic templates a platform offers. We also work outside Slack — Microsoft Teams, email, Discord, custom dashboards. And our agents take action in tools Agentforce doesn't natively touch.
Q: How is this different from your MCP Connector?
An MCP Connector exposes your systems so a human using Claude, ChatGPT, or Cursor can query and update them directly — the human makes every decision in real time. An Agent uses MCP (or direct APIs) to make bounded decisions autonomously based on rules you set — no human in the loop for routine actions, humans stay in the loop only for exceptions you define. MCP Connector = give a person tools. Agent = give a system a bounded job. Many agents use MCP Connectors under the hood, so your MCP investment is reusable if you later build agents.
Q: What happens when the agent makes a mistake?
Every action the agent can take is bounded in scoping — it physically cannot take actions outside that defined set. Write operations can be gated behind human approval (example: "draft the email, wait for Slack thumbs-up before sending"). Anything outside the defined scope escalates to a named human within one message hop. Every action is logged to an audit trail. If a mistake happens inside the bounded set, you see exactly what the agent did and can adjust the decision rules.
Q: How do you prevent hallucinated actions?
Agents only call real tools with real data — they do not hallucinate actions because they cannot. The agent either has permission to call a specific tool (via MCP or direct API integration) or it doesn't. If it tries to call something unauthorized, the call fails and the attempt escalates. LLM hallucination risk still exists at the text-generation layer (a drafted email might contain an incorrect claim), which is why write operations and outbound communications are gated behind human approval when the stakes warrant it.
Q: Can I audit exactly what the agent did?
Yes. Every action is logged with timestamps, inputs, the decision made, outputs, and escalation events. The audit log is queryable (typically via Slack slash commands or a web UI) and exportable to CSV or JSON for compliance reviews. You can always answer "what did the agent do on Tuesday" with precision.
Q: What if my engineering team wants to build this themselves?
They can. CrewAI, LangGraph, and the Anthropic SDK are public. Most internal teams underestimate three things: (1) memory and prompt-regression management as the agent ages, (2) escalation routing that doesn't drown humans in noise, (3) audit logging at the granularity security teams require. We sell the pattern recognition and production hardening for these specific failure modes, not the boilerplate code.
Need SOC2, SSO, multi-tenant, or custom enterprise scope?
Enterprise SSO/SAML integration with your IdP (Okta, Azure AD, Auth0), RBAC, audit logging for compliance review, multi-tenant architecture, and custom agent builds beyond the 4-tier ladder are available. Book a 15-minute call to scope it →