AI for office tasks.Remove friction.Own your automation.
We implement secure, custom AI integrations and LLMs directly into everyday business tasks. Stop dealing with manual data entry, fragmented communication, or costly software integrations. We build custom intelligence agents that run on your own databases to automate office workflows and eliminate SMB operational friction.
fragmented data · slow pipeline · high stress
100% accurate · real-time sync · low cost
Average time reduction on manual data entry and office admin chores.
Custom parsing agents capture invoice, lead, or ticket data instantly.
AI workflows process email files, document attachments, and customer inquiries around the clock.
Increase in document processing capacity for SMBs without adding headcount.
Custom LLM orchestration bypasses expensive SaaS subscriptions and keeps your proprietary data secure.
Automating business workflows at code level.
Generic AI tools require copy-pasting data back and forth, creating security risks and context switches. We build AI integrations directly into your React tools and server workflows.
From auto-sorting customer support emails to parsing contract PDFs and writing structured data straight to your CRM, we deploy custom agents that run securely in your own cloud infrastructure.
average operational efficiency
Excellent
PDF & File Parsing
We deploy vision and text LLMs to automatically read and extract fields from files, invoices, or tickets.
Workflow Orchestration
We wire multi-step webhook triggers connecting emails, CRM databases, and messaging channels.
Internal Slack/Teams Bots
We construct intelligent chat interfaces for your staff to query customer records or generate reports instantly.
Private & Secure LLMs
Your proprietary company data is kept private, avoiding model training pools and ensuring complete security.
We evaluate your manual office routines, build the custom triggers, and deploy the AI pipeline.
Our AI & LLM integration pipeline.
We identify friction, create automated prompts, and connect models natively to your pipeline.
Bottleneck Discovery
We audit your daily manual operations—like duplicate entries, invoice sorting, or drafting responses—to find high-impact automation vectors.
Code Integration
We build native API integrations using the Vercel AI SDK, Anthropic, or OpenAI endpoints directly inside your application backend.
Agent Deployment
We connect prompt-engineered agents to webhooks so they execute tasks automatically in response to emails, files, or form submissions.
Continuous Tuning
We trace agent decisions, optimize token usage and processing latency, and fine-tune system prompts for maximum accuracy.
Measured impact on actual business logic.
Apex Logistics: Eliminating 14 hours of daily data chores.
Apex Logistics had a team of three manually copying delivery manifests and invoice details from PDF attachments into their CRM. We built a custom document-parsing AI pipeline that extracts data from incoming emails, validates fields, and records transactions in their database instantly. Operational latency dropped from 4 hours to 8 seconds, with zero human data-entry errors.
Book an AI automation consultationTechnical questions on our implementation approach.
Answers to common technical queries.
Will our company data be used to train public models like ChatGPT?
No. We configure all AI integrations to use official API endpoints (such as OpenAI API or Anthropic Claude API) under strict enterprise privacy agreements. Your business data is excluded from public model training pools and remains 100% private.
Can AI accurately read messy PDFs, scans, or images?
Yes. By utilizing modern Vision LLMs (Multimodal models), we can accurately extract structured text, numbers, and tabular data from low-resolution scans, photo attachments, and non-standard PDF formats.
What is the cost of running custom LLM workflows?
API usage costs are extremely low. Processing a standard document typically costs between $0.002 and $0.05 in API tokens. Compared to hiring manual data-entry staff or subscribing to expensive specialized SaaS platforms, you save over 90% in operating costs.
How long does it take to deploy an AI workflow?
Simple parsing tasks and custom Slack bots can be deployed in 2 to 3 weeks. Complex multi-step agent choreographies that connect to legacy databases typically take 4 to 6 weeks from audit to launch.
Ready to remove office friction?
Replace manual data chores and fragmented software with secure, hand-coded AI systems built directly into your platform.