Service 07
AI Automation
Your team burns hours on work software should own, handing velocity to whoever automates first — we build AI automations that take the repetitive load off your plate.
Overview
What this looks like in practice
A team lead adds up the hours spent on repeatable work: drafting the same few document types, triaging inbound requests that already have an obvious answer. None of it needs judgment. All of it needs doing, every week, until it’s automated.
We apply AI where it removes drudgery: drafting, triage, summarization, and routine decisions — so your people spend their hours on judgment, not repetition.
Repetitive knowledge work quietly consumes the hours that should go to the work only humans can do.
Capabilities
What we do
- Document and content automation — Targets the drafting and formatting work that follows the same pattern every time, so people write the parts that need judgment instead of the parts that don’t.
- Triage and summarization workflows — Routes and condenses incoming requests so the right person sees the right thing first, instead of everything landing in one shared queue.
- LLM-powered assistants and agents — Built for the specific task it has to do, not a general chat window dropped into your product and left to figure itself out.
- Safe, evaluated AI in your stack — Tested against real examples before it touches real work, so failure modes are caught in review, not in production.
- Human-in-the-loop checkpoints — A person signs off at the step where a mistake would actually cost something, so automation removes the drudgery without removing the judgment.
Deliverables
What you walk away with
- Automation specification
- Working AI workflow or assistant
- Evaluation and guardrail setup
- Rollout and monitoring plan
[CONFIRM: concept/revision-round count included, the actual handoff format, and a real turnaround per deliverable if one can be quoted]
Process
How we work
- 01Find — the repetitive work worth removing — We look for work that’s repetitive and low-judgment, not just work that involves a computer, since not everything worth doing is worth automating.
- 02Design — the human-safe automation — We decide up front where a human checks the output, before the automation ever touches something that matters.
- 03Build — with evaluation from day one — Test cases get written alongside the automation, not after something goes wrong in production.
- 04Pilot — on real, bounded tasks — It runs on real tasks with real stakes, but bounded ones, before it touches anything that can’t be easily undone.
- 05Scale — where it proves its worth — Only the automations the pilot actually proved get scaled up — the ones that didn’t, don’t.
For you
Who this is for
Teams drowning in repeatable knowledge work who want an edge, not a chatbot for show.
Not for you if the repetitive task in question happens only a handful of times a year. Automation earns its cost against volume. Below a certain frequency, doing it by hand is still the cheaper answer.
FAQ
Common questions
- Will AI replace my team?
- No. We target the repetitive load so your team keeps the judgment work that matters.
- Is it safe to put AI on real tasks?
- We build with guardrails and evaluation, and keep a human in the loop where it counts.
- What happens after I send this?
- If it’s not a fit, we’ll say so rather than string you along. If it is, you’ll hear from us about next steps.
- What does this cost, and how long does it take?
- [CONFIRM: whether pricing is disclosed pre-contact or kept quote-only, and a typical turnaround range in business days/weeks for a standard engagement]
- What’s not included?
- [CONFIRM: whether engagements are scoped in a written proposal, and how out-of-scope requests that surface mid-project are handled]
Related
Other services
Start
Let’s talk
Burning hours on work software should own? Let’s automate the load.
Prefer email? sales@cdsportswearusa.com