What Hilluter.dev delivers
Three offerings, designed to slot into real businesses without drama: align the team, automate the grind, integrate AI where it pays.
Align stakeholders and convert “AI ideas” into a prioritized plan with clear ROI, risks, and next steps.
Replace repetitive processes with resilient workflows: retries, alerts, logging, and clean ownership.
Embed AI into your product or internal tools: assistants, extraction, RAG, and tool-using agents.
A delivery pipeline that respects reality
We keep scope tight, ship quickly, and instrument results so you can prove impact (or kill bad ideas early).
Goals, constraints, data, success metrics.
Architecture, workflow mapping, prototype.
Implementation with staging and reviews.
Monitoring, iteration, and expansion.
Examples, format-ready for real case studies
Anonymized patterns you can swap later with named wins.
Detects intent and urgency, drafts replies, and routes to the right team with a human-in-the-loop for quality control.
Answers questions about the company, products, and policies by retrieving info from internal docs and a vector search index.
Processes incoming documents (invoices, resumes, etc.) to pull out structured data and feed it into downstream systems.
Quick answers, no incense
No. We replace repetitive tasks and unblock teams. Humans keep ownership and judgment.
A wide range of AI Tools with MCP servers or APIs, n8n, modern LLM APIs, vector search where it's warranted, and reliable infrastructure.
Workshops: days. Automations: often 1–2 weeks to visible impact. 1–6 months for full ROI.
Yes — Microsoft 365, Google Workspace, Notion, Postgres, n8n, and most REST APIs.
Field notes from the build
Every service bullet above has a longer write-up: how we do it, where it fails, and what to check before you start.
AI use-case shortlist and scoring: from a pile of ideas to a ranked plan
A scoring model (value, feasibility, data, risk, time-to-impact) that turns a pile of AI ideas into a buildable shortlist, plus what a bad shortlist looks like.
Automations / Lead routing + enrichmentLead routing and enrichment: automating inbound leads with n8n and LLMs
Automate inbound lead handling with n8n and LLMs: enrichment, intent and urgency scoring, routing rules, SLA timers, CRM updates and failure modes to plan for.
AI Integration / API + UI integrationAPI and UI integration: embedding AI in an existing product or internal tool
Embedding an LLM in an existing product: API design (structured outputs, timeouts, streaming), UI patterns that earn trust, and the two mistakes to avoid.