TECHNODICT builds and ships applied-AI systems — Consulting, Agents, Automation, and Custom AI.
Step-by-step playbooks for automating the repetitive, judgement-heavy work between your existing systems — the workflow, who does what, and where a human stays in the loop.
A playbook for automating post-meeting and pipeline follow-up: capture what was agreed, let a rep confirm it, schedule from rules a sales manager wrote, and draft messages that have something to say.
Medium complexity · 7 min read
A playbook for automating accounts payable intake: classify the document, extract every field with its own confidence, let deterministic checks outrank the model, and send only the exceptions to a person.
High complexity · 8 min read
A playbook for automating tier-1 support: classify, retrieve from your own documentation, answer only what is grounded, escalate everything else — and treat the questions it could not answer as the documentation backlog.
Medium complexity · 5 min read
Specifications for the agents we build: what each one is for, what it needs as input, what it produces, how the work flows, and how it is put together.
The specification for a read-only assistant over ERP data: plain-language questions answered from a curated query surface, run under the asking user's own permissions, with the filters shown beside every figure.
High complexity · 5 min read
The specification for a research agent that answers one written business question from allowlisted sources, carries a citation on every claim, and is allowed to report that something is not established.
Medium complexity · 5 min read
The specification for a grounded support agent: it answers from your documentation, cites what it used, refuses what it cannot support, and hands off with the whole conversation attached.
Medium complexity · 4 min read
Original research on how AI automation is actually being adopted. Published only once every figure carries a source and a date — drafts live here until then.
Sector-by-sector breakdown of AI automation adoption, with per-sector sample sizes. Every figure is an unfilled placeholder until it carries a citable, dated source.
2 min read
The structure of our annual read on AI automation in production. Every figure is an unfilled placeholder pending sourced research — nothing here is publishable yet.
2 min read
What changes in AI tooling actually mean for an operations team — written as analysis, with the claims separated from the evidence.
What a production AI budget contains that a pilot budget does not, why the second workflow costs less than the first, and which cost figures still need sourcing.
2 min read
What the current generation of agent tooling changes for an operations team, what it leaves exactly as hard as it was, and which figures still need sourcing before publication.
2 min read