AI agent consulting for the work your team repeats every week.
Practical AI agent consulting for companies that want internal AI agents, agentic workflows, and copilots connected to their tools and data. The goal is simple: remove copy-paste, report building, admin checks, and follow-up work.
Pick a project to see the pattern: reduce manual production, package repeatable agent skills, automate document work, and run agentic company workflows with AI in the loop.
AI film and video workflows packaged into a usable product.
Reduces the tool-switching between prompt, model, image, video, and review steps.
BenefitLess tool-switching
BuiltMulti-model orchestration
TransferCreative workflows
Turns multiple AI tools into one production workflow with clear review points.
Useful for teams that need repeatable creative output instead of ad hoc prompting.
Shows how to make complex AI capability usable by non-technical operators.
Agent stack
The real problem
You do not need a one-week AI training nobody uses.
Most teams already have people trying ChatGPT, Copilot, or Claude. The valuable work is building agentic workflows that remove a recurring task from the week: preparing follow-ups, rebuilding reports, reading documents, drafting customer replies, flagging exceptions, and keeping humans in the approval loop.
Approach
01
Find the expensive repetition
We map where smart people still copy-paste, search documents, rebuild reports, or chase follow-ups.
02
Pick one agentic workflow with visible ROI
A first AI agent should save hours, reduce errors, or speed up a decision. If it does none of that, we do not build it.
03
Ship the agent inside your existing tools
The system plugs into the CRM, Drive, Slack, Notion, codebase, inbox, or internal data you already use, with approval steps where needed.
04
Measure, improve, hand over
We track time saved, usage, errors, and failure cases. You keep the prompts, docs, checks, and ownership model.
Use cases
Build AI agents around work people already repeat every week.
Leadership
Executive briefing agent
An AI agent pulls metrics, messages, and docs into a short brief: what changed, what is blocked, and which decisions need attention.
Sales
Sales research and follow-up agent
Remove the 30-60 minutes often spent researching each qualified account: context, angles, CRM notes, and follow-ups are prepared for approval.
Support
Customer support AI agent
Cut repeated answers and internal interruptions. The agent drafts replies from your docs, product history, and customer context with sources attached.
Finance
Back-office document agent
Extract fields, check missing information, classify documents, and prepare next actions from invoices, contracts, and forms.
Operations
Agentic operations workflow
Run recurring checklists, flag what changed, notify the owner, and keep a log of decisions instead of chasing by hand.
Product
Product and QA agent
Read tickets, specs, PRs, and feedback to draft QA checks, risk notes, and documentation before review.
AI agent diagnostic
A useful AI agent should save time in the first month.
Tell me what your team repeats, where the information lives, and what you have already tried. I will help you pick one agentic workflow that can be built, tested, and measured.
