An MSP for autonomous AI ops — low-cost, high-impact deployment from day one.
Full auditability, control, and data sovereignty — without compromising speed.
Bespoke to your workflows, not a template
Audited and permissioned — every action governed
Tuned by operators responsible for results
True integration into a business will be bespoke until actual AGI. That creates an industry, Managed Agentic Providers.
We're building the platform for it.
Year 1–2: Managed service — high-touch, learn the wedge. Year 3+: Self-serve Hub platform where clients manage their own Alacritous instances.
The managed service is the GTM wedge that builds the platform. Customers stay for the knowledge graph, even when they move AI talent in-house.
If SaaS survives, we build the best-informed self-serve product with a plurality of captured market share. If not, the managed service stands on its own.
OUR DIFFERENCE IS TWOFOLD.
1. The Mid-Market Reality
Enterprise won't hand sensitive data to contractors — and won't tolerate inference-based data leakage. SMBs will get cheap, good-enough AI from the model providers themselves (Anthropic, OpenAI). No room for us. Only Mid-Market has the budget, the urgency, and the operational complexity to pay for bespoke AI ops — and our deployment SOPs get them live by W2.
2. The Bespoke Imperative
Mid-market business will require bespoke modifications and management to fit existing internal ops paradigms.
Off-the-shelf wrappers fail here. Any SaaS would require a responsible party in-house for outcomes, we bundle that.
CRM-Agnostic Automation: Syncs perfectly with any CRM, notifies the sales team in their chat service, and automatically drafts or sends follow-ups.
Founder-Led Advantage: 15 years selling leadgen and revenue systems gives us an edge selling a revenue-first pilot that is less invasive than pitching reduced opex from day one.
Revenue-First Wedge: A booked meeting is immediate commercial proof, so the pilot is easy to approve, fast to validate, and naturally expands into deeper operational automation after trust is earned.
Negative CAC: Using a profitable pilot at low cost delivers early value and ensures CAC is never a concern.
Technical Account Managers for onboarding & upsells
20% Founder & 10% Dev
Hub development for instance management
Unusual GTM: Guerilla outreach is our agency specialty and scales linearly by adding more outreach capacity; PPC is a support channel, not the dependency. Happy to unpack the full playbook.
Business Model
Managed service → accuracy compounds → automation scope creeps into overages.
Selling into a new industry, we believe the best provider will perform customer education without big budgets: profit-first pilots, platform licensing fees, and becoming "the AI guy" that customers go to when the latest model drops.
Tier
Price
Pilot
$1,250 one-time
Founder
$3,000/mo + $150/h T&E overages
Enterprise
Custom scoped
3 FTEs
$255k
traditional cost
vs
Alacritous
$36k
flat annual
$100/day for a 24/7 AI operations team.
12-Month ROI
Coordination savings vs. Alacritous cost
12-person team at $65k avg salary · $19,500/mo coordination tax · Month 1 payback
Our moat is the 25,000-node knowledge graph we build for each client. It takes 90 days. No competitor ships with it. Ripping it out means starting over.
Competitive Map
What we're not
Alternative
Limitation
Zapier / Make
Rigid, stateless triggers — break when conditions change
Salesforce Agentforce
Locked in the CRM walled garden
Microsoft Copilot
Favors M365 suite — not vendor-agnostic
OpenClaw
Insufficient memory solution for business, requires technical hire, CISO nightmare
Internal AI hires
Expensive, slow, hard to audit at scale
We win: OUTCOMES + GOVERNANCE + MEMORY ship together.
*Agents are spawned with full Skill context and minimal viable toolsets (partial MCPs) to improve latency and adherence to requirements.
The Orchestrator: Reviews memory before creating subagents, can spawn parallel agents or execute data-gathering rounds prior to delivering results, and immutably updates memory.
Approval Scope: Controlled at the admin level (via web portal or managed by us). Designed to prove which processes can go fully autonomous over time.
Governance
The Control Plane
One place to monitor and approve everything your AI agents do.
Consent Gates — high-stakes actions require human approval
Immutable Audit Trail — what was accessed, proposed, approved, and when
Non-Custodial — your data stays in your systems
Skills Versioning — hash-pinned like a git commit
SOC 2 ready · EU AI Act compliant · HIPAA clean rooms · RBAC + sandboxing · Cloud or self-hosted
The Digital Workforce
Dynamic orchestration, not rigid roles
Skills, Not Data Dumps
Structured SOPs · Auditable
Dynamically Spawned
Exact tooling needed
MCP-Native
60+ Connectors
Inter-Agent Synergy
Reason together
168 hrs/wkautonomous coverage
<5 minresponse time, 24/7
1,500+codified Skills · 15 domains
How This Fails
⚠Agents make mistakes in high-stakes workflows
🔒Security / compliance blocks deployment
🚫Adoption fails — another tool nobody uses
These are the three real risks. Here's how we fence each one.
Fences
Risk
Fence
Agent mistakes
Human-as-Approver gates + immutable audit trail; mistakes drop sharply after a 1-week memory-ingestion sprint and keep improving over time.
