AI Software House · Model-agnostic · 20 years delivering software

Custom AI for the workflows that slow your business down

We design and build AI agents, knowledge systems, and process automations that handle the repetitive, manual work burning your team's time — integrated into the tools you already use.

AI AgentsRAG SystemsProcess AutomationLLM IntegrationAgentic WorkflowsMLOps

// the problem

Where AI makes the biggest difference

Not every process needs AI. These three patterns show up in almost every business we talk to.

Your team copies data between systems manually

Hours a week lost to moving information from email to CRM, from spreadsheet to ERP, from ticket to report. Error-prone, soul-crushing, and completely solvable.

🔍

Knowledge is buried and hard to find

Your team re-answers the same questions, digs through old documents, and asks colleagues for context that should be instantly available. Institutional knowledge doesn't scale.

📊

Decisions wait on humans to read and summarize

Reports, emails, support tickets, contracts — someone has to read everything before anything happens. AI can read, classify, summarize, and route faster than any team.

// what we build

Three ways we automate your business

01

AI Agents & Process Automation

Autonomous agents that watch for triggers, make decisions, and act across your tools — without human intervention. From lead routing to invoice processing to support triage.

  • Multi-step workflow agents
  • CRM / ERP / ticketing integrations
  • Human-in-the-loop escalation
  • Scheduled and event-driven runs
02

RAG & Knowledge Systems

Give your team an AI that knows your business — trained on your docs, policies, SOPs, and history. Ask it anything. Get answers grounded in your actual data.

  • Document ingestion & indexing
  • Semantic search over private data
  • Policy & compliance copilots
  • Onboarding & enablement assistants
03

AI-Augmented Software

Full-stack web and mobile products with AI features built in — not bolted on. Eight years of engineering discipline meets modern LLM capabilities.

  • Custom web & mobile products
  • LLM feature integration
  • Cloud / DevOps foundations
  • Model evaluation & governance

// process

How we work

Structured enough to be predictable. Flexible enough to fit your business.

01

Discover

We map your business goals, current workflows, data landscape, and the highest-value automation candidates. No assumptions — we start with your context.

02

Design

Model architecture, integration points, guardrails, and a KPI-aligned delivery plan. You approve the design before we write a line of production code.

03

Build

End-to-end implementation — AI models, integrations, testing, and deployment. We use AI in our own delivery process to move faster without cutting corners.

04

Scale

Post-launch monitoring, model evaluation, cost optimization, and iterative improvements. AI systems need ongoing care — we stay engaged.

// stack

Model-agnostic by design

We pick the right tool for your use case, not the one we happen to prefer.

LLM Providers

  • Claude (Anthropic)
  • GPT series (OpenAI)
  • Gemini (Google)
  • Llama (Meta/local)

Retrieval & Knowledge

  • pgvector / Supabase
  • Pinecone
  • LlamaIndex
  • LangChain

Agent Frameworks

  • LangGraph
  • Anthropic Agents SDK
  • AutoGen
  • Custom orchestration

Integrations

  • Salesforce / HubSpot
  • Jira / Linear
  • SAP / ERPs
  • REST / Webhooks / MCP

Infrastructure

  • AWS / GCP / Azure
  • Cloudflare Workers
  • Docker / Kubernetes
  • CI/CD pipelines

Observability

  • LangSmith
  • Weights & Biases
  • Grafana
  • Custom eval harnesses

// why us

Why teams choose AppServices

🏗️

Engineering-first, not hype-first

We have 20 years of shipping production software. We build AI features the same way — with proper architecture, testing, and long-term maintainability in mind.

🔀

Model-agnostic

We don't have a preferred LLM vendor. We evaluate options against your requirements, data, cost constraints, and compliance needs — and recommend accordingly.

🎯

Outcomes over outputs

We agree on business KPIs before we write code. Time saved, error rate reduced, tickets resolved — concrete numbers, not a list of features delivered.

🤝

Small team, direct access

You work directly with the people building your product. No account managers, no hand-offs to junior developers. Fast decisions, clear communication.

// ready to start?

Map the AI opportunities in your business

A 30-minute strategy call is enough to identify 2–3 high-value automation candidates in your workflows. No commitment, no pitch deck.