OBHOLZ SOLUTIONS AI instead of human limits Delivery: 1 – 2 weeks
S/05 · SERVICE

AI automations

Replace the manual middle of any process. Email triage, invoice OCR, lead enrichment, content pipelines.

Brief this build See all services
WHAT YOU GET

Scope included

Standard scope of every project in this service line. Bigger or custom needs get a custom quote.

  • Email triage + auto-classification + response drafting
  • Document OCR + structured data extraction (invoices, contracts, receipts)
  • Lead enrichment + scoring + CRM sync
  • Content pipelines (research → write → review → publish)
  • Internal report generation (daily/weekly summaries)
  • Slack / Teams bots with custom skills
  • Approval workflows with human-in-the-loop fallback
  • Cost monitoring (token budget per workflow)
OpenAIAnthropicn8nTemporalCloudflare WorkersPythonLangChainBAML

Default stack. We swap if your context demands it (legacy systems, specific framework constraints, etc.).

USE CASES

When this fits

We've shipped this service line for these patterns — scope scales with depth, not number of use-cases.

USE CASE

Inbox Zero Automation

Triage incoming email, classify, route, draft replies — keep humans for what matters.

USE CASE

Invoice & Receipt Pipeline

Email arrives → OCR → match to PO → post to accounting → archive. 92% hands-off.

USE CASE

Content Production

Topic brief → research → draft → fact-check → edit → publish. Daily, on schedule.

USE CASE

Sales Lead Enrichment

Raw lead → company data → contact roles → personalized intro → CRM.

FROM THE PORTFOLIO

We've shipped this.

Recent builds in this service line — same process, same 31-agent team.

CASE

OBHOLZ SOLUTIONS itself

The 31-agent infrastructure powering this studio

Read the build →
S/05 · FAQ

Sensible questions

How does pricing work for ongoing token costs?

We architect for cost-efficiency: cheap models for triage, expensive models only when needed, prompt caching, batch APIs where possible. We deliver a cost dashboard so you see per-workflow spend.

Can it learn from feedback?

Yes — we instrument the workflows with feedback loops. Human overrides become training data for the next iteration.

What about hallucinations?

We design with falsifiable outputs (structured JSON, schemas) and add a verification step. For high-stakes outputs we route to human approval before action.

READY WHEN YOU ARE · 24-HOUR FIXED QUOTE

Build your ai automations.
Brief us today.

No sales calls. No 6-step funnel. Just an inbox you can actually email.

Start a project
EV EVA IS READING · AVG REPLY 47 MIN