AI that saves time on real work.
Assistants trained on your docs. Workflows that triage your inbox. Automation that's actually useful.
AI gets a lot of press for the wrong reasons. We're interested in the boring, useful side: an assistant that can answer questions about a 400-page binder, a workflow that triages incoming RFPs before they hit your inbox, a tool that drafts the first version of a report so your team can edit instead of compose. Practical, measurable, and auditable.
Concrete deliverables, every project.
Every engagement includes the items below. Scope is tailored to your project — these are the building blocks we draw from.
- AI assistants trained on your documents (RAG)
- Document ingestion and chunking pipeline
- Vector search via pgvector or Pinecone
- Claude or GPT integration into existing tools
- Lead triage automation (incoming emails, RFPs)
- Content drafting automation
- Document analysis (summaries, extractions, classifications)
- n8n workflows for repetitive automation
- Custom AI features embedded in your apps
- Citations + sources so answers are auditable
- Cost monitoring and rate limiting
- Handoff docs and a training session
A fit if you're…
- Businesses drowning in repetitive document work (proposals, contracts, reports)
- Businesses with archives of knowledge their team can't easily search
- Businesses ready to automate manual work but not sure where to start
- Businesses that have tried ChatGPT and want something tailored to their domain
How we do this differently.
Pick a real problem
AI projects fail when they start with the technology. We start with one painful, time-consuming workflow — and build the smallest thing that meaningfully helps.
Citations over hallucinations
Every answer the assistant gives shows its sources. If the model doesn't have the answer in your documents, it says so. We test this rigorously before launch.
Cost-aware by default
We monitor token usage, cache aggressively, and pick the right model for each step. You see real numbers — not a surprise bill three months in.
Starting points for this service line.
Tailored scope and pricing on every engagement — these are common starting points.
AI Assistant
Support, internal Q&A, sales enablement
Starting at
Starting at $X
2–3 weeks
- Chatbot or assistant on your content
- RAG pipeline with citations
- Embedded widget or standalone page
- Admin controls for content updates
- Usage and cost dashboards
- Basic analytics on questions asked
AI Workflow
Repetitive document or content work
Starting at
Starting at $Y
3–5 weeks
- Automated pipeline via n8n + Claude
- Multi-step workflows with branching
- Email / Slack / webhook triggers
- Human-in-the-loop review steps
- Error handling and retries
- Logging and audit trail
AI Custom
Bespoke automation needs
Starting at
Tailored quote
Varies by scope
- AI features inside existing or new apps
- Custom RAG architectures
- Multi-modal (text, images, documents)
- Tool use and agent workflows
- Fine-tuned or domain-adapted prompts
- On-premise deployment if needed
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