Autonomous AI Agents · Custom Vector RAG · Enterprise Guardrails

Autonomous AI agents that execute real business work.

Move beyond basic ChatGPT prompts. We engineer secure, private AI agents that triage inquiries, extract complex data, and automate operations 24/7.

4.8 / 5from 96 client reviews

Production engineering · Working worldwide

Autonomous AI Agent Orchestrator Private LLM Cluster
AI
Inbound Customer Triage Agent Sentiment: High Intent → Qualified & routed to senior partner
99.8% Precision
PDF
Document Extraction & OCR Agent Parsing line items → Matched with QuickBooks invoices
0.4s Latency
RAG
Internal Knowledge Vector RAG Instant enterprise SOP retrieval across 4,200 company docs
Zero Hallucination
185 Hourssaved weekly
14xfaster processing
$72,000+annual ROI

Built with enterprise data isolation, private LLM endpoints, and zero training on your client data.

Architecture and systems trusted by high-growth companies

How does OpsFrames build AI Automations?

We engineer custom autonomous AI agent pipelines, private vector RAG search, and automated document processing systems. We connect modern language models (OpenAI, Claude, Gemini, or open-source Llama) directly into your databases, CRM, and internal software with strict security guardrails so you get reliable outputs without hallucinations.

See the deliverables →
  • Zero data leakage. Your private corporate data is never used to train public LLM models.
  • Deterministic guardrails. Structured JSON schema outputs ensure 100% predictable system actions.
  • Custom vector RAG. Search and quote your internal SOPs, contracts, and manuals with instant citations.
  • Autonomous task execution. AI agents that read, classify, take action, and update your software automatically.

Signs you need this

If any of these sound familiar, your current setup is bottlenecking revenue growth.

High-paid staff spend hours on copy-paste admin

Lawyers, consultants, and engineers manually reading PDFs or re-typing CRM fields.

You tried ChatGPT but it hallucinated or failed

Unstructured consumer prompts don’t work for mission-critical enterprise workflows.

Customer inquiry triage takes hours

Inbound requests sit in queues instead of being instantly categorized and answered.

Internal company knowledge is scattered everywhere

Staff can’t find the right policy, contract, or guideline without asking 3 colleagues.

What we build

Four connected parts. Engineered together so there are zero missing links.

Customer Triage Agents

  • Automated email inquiry classification
  • Sentiment and intent detection
  • Smart FAQ auto-responses with citations
  • Escalation to senior staff when required

Document & OCR Intelligence

  • Automated PDF & invoice data extraction
  • Contract clause comparison and risk check
  • Structured JSON extraction for databases
  • Receipt & bank statement processing

Private Enterprise RAG

  • Custom vector database embeddings
  • Semantic search across all company files
  • Exact source-citation document links
  • Role-based access control per department

API & Software Connectors

  • Direct webhooks to OpsSuite CRM & ERP
  • Automated Slack/Teams notification bots
  • Stripe, QuickBooks & database syncing
  • Full audit logging and latency telemetry

How it works

Four disciplined steps from initial audit to production launch.

STEP 1

Workflow & Data Audit

We identify your highest-cost repetitive manual tasks and evaluate data security requirements.

STEP 2

Architecture & Guardrail Design

We design the LLM prompt chains, deterministic schemas, and private vector embedding pipelines.

STEP 3

Integration & Live Sandbox

We connect the agent directly to your software APIs and test against 1,000+ real-world edge cases.

STEP 4

Deployment & Monitoring

We roll out the AI agent into production with telemetry dashboards, cost controls, and fallback loops.

Operational Hours Saved & Agentic Throughput

Deploy reliable AI workers that handle repetitive knowledge work 24/7 with zero human fatigue.

Autonomous Task Processing & Accuracy Diagnostics Continuous Verification
Weekly Hours Saved185 Hrs= 4.5 full-time staff
Processing Speed14xSeconds vs hours
Data Accuracy99.7%Dual-validation loop
Cost Reduction$72,000Annual payroll saved

Weekly Automated AI Task Executions (Last 8 Weeks)

Enterprise Guardrails & Security

  • Zero data retention for AI model training
  • Private isolated vector databases
  • Deterministic schema enforcement (0 hallucinations)
  • Human-in-the-loop fallback escalation

What this looks like for a real client

Measurable business transformation delivered within a fixed scope.

185 Hrs

saved every week by replacing manual intake reviews with an autonomous document classification agent.

Northgate ClinicSpecialist Medical Practice
Read the full case study →

Real client result shared with permission — audited metrics.

What we promise, in writing

No vague agency statements. These three written commitments on every project.

Fixed scope and fixed price agreed up front 100% intellectual property & codebase ownership Zero monthly retainers required to keep your systems running

How it connects

Every OpsFrames capability operates as part of an integrated business pipeline.

Common questions

Straightforward answers. If yours is not here, ask us directly on a strategy call.

Is our company data kept private and secure?
Yes, 100%. We use enterprise zero-data-retention APIs and private vector stores. Your data is never used to train public language models.
How do you prevent AI hallucinations?
We use deterministic JSON schemas, strict Retrieval-Augmented Generation (RAG) constraints, and automated verification loops. If the model lacks 100% confidence, it escalates to a human operator.
Which AI models do you use?
We deploy the right model for each task: OpenAI GPT-4o for complex reasoning, Claude 3.5 Sonnet for document extraction, and private open-source Llama models for strict on-premise privacy.
Can the AI agent trigger real actions like sending invoices or updating CRM?
Yes. Our agents use function calling and webhooks to interact directly with Stripe, QuickBooks, OpsSuite, and your custom databases.
Do we need a dedicated AI engineer to maintain this?
No. We provide turn-key, self-healing architectures with clear monitoring dashboards that anyone on your team can understand.
How long does implementation take?
Most targeted AI agent workflows are built, validated, and deployed in production within 2 to 3 weeks.
What is the pricing model?
We quote fixed-scope implementation costs with transparent token cost estimates. No hidden developer hours.
How do we get started?
Book a 30-minute discovery call to identify which repetitive tasks in your business are best suited for AI automation.

Deploy autonomous intelligence into your business. 24/7 reliability. Zero hallucinations.

Tell us where your business is today. Receive a fixed scope and timeline quote in 3 days.

Fixed scope • Guaranteed delivery • You own 100% of the code & assets.

  1. STEP 1A 30-minute discovery callWe review your existing bottleneck and business objectives. No slides, no sales pressure.
  2. STEP 2A fixed quote in 3 daysExact deliverables, milestone dates, one fixed price. Yours to keep regardless.
  3. STEP 3We deploy your systemOne dedicated engineering team builds it. You own everything at handover.
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