Agents by Studio Ploski · Alberta, Canada
We build the fixed code and automations that run the known work, then hand off to agentic reasoning when judgment, messy input, or an exception appears. That is how output stays consistent — and how the bill stays predictable.
The practice
Most of a durable system is automation and code. Agents cover the stretch the rules cannot. We design both, and the handoff between them.
Intake, validation, routing, writes, notifications, and the audit trail. If the step is known, it should not pay for a model call.
Messy documents, missing fields, conflicting rules, or a case that needs judgment. That is the only place an agent should spend tokens.
Read the exception, call tools, draft the file, and stop for a person when the decision binds the business. Then return control to the workflow.
The method
Agentic engineering stays solvent when most cases never reach the model. Consistency comes from code. Coverage comes from the agent.
Statuses, required fields, system writes, and stop conditions live in software. Same input, same output, every time.
The workflow moves the file: collect, check, route, notify. Operators only see work that actually needs them.
When the path cannot finish, the agent reads context, proposes the next action, and hands back a reviewable result.
Where we work
Financial services is work we have built. The other industries show how the same automation-first pattern would apply — Imagine cards, not case studies.
We have built this for regulated banking onboarding: automation collects and checks the known KYC pack; an agent steps in on gaps, conflicts, and odd documents so an officer reviews a complete file.
Illustrative: technical publications, configuration rules, and supplier packets are large and versioned. An agent earns its keep when it retrieves the right revision and leaves a trail.
Illustrative: most plant pain is not “more dashboards.” It is the exception that sits in someone’s inbox while the work order ages.
Illustrative: useful agents in this industry cite the SOP, stay inside the validated process, and never quietly “improve” a controlled record.
Illustrative: guests and staff generate the same handful of exceptions every day. An agent that routes, drafts, and closes those loops is worth more than a lobby chatbot.
Illustrative: returns, vendor files, and inventory mismatches eat hours that should be on the floor. Agents help when they finish the case, not when they summarize it.
How we work
We map the deterministic path first. The agent is scoped to what that path cannot finish.
One workflow that already costs time, risk, or backlog — and the steps that already have rules.
What stays in code and automation. What may call an agent. Where a person must still decide.
Automations against live systems first. The agent is wired only at the handoff points.
Measure how many cases finish without the model, how many need the agent, and what still needs a person.
Logging, ownership, and a way to tighten the rules so fewer cases hit the agent next month.
How we decide
Approvals, safety, credit, quality, and anything that binds the business stay human-gated. The agent prepares the file. It does not quietly close it.
What the agent saw, which tool it called, and why it stopped. Useful to operations first, then to compliance.
We integrate with the systems you already run. A second portal that nobody opens is not a result.
Studio Ploski ships its own products as well as client work. We treat agents as production software — scoped, tested, and owned after go-live. Proof on the apps page: SiteToMD, Team Treasurer, and GordAI.
Questions we hear first
Because the known path should be free, fast, and identical every time. Models drift, cost scales with volume, and auditors want a rule they can point at. We put that path in code and automation. The agent is called when the path cannot finish — messy input, a conflict, or a judgment call.
A chatbot answers. An agent takes steps on an exception: it reads a file, calls a system, writes a draft, opens a ticket, or stops and asks a person. The automation around it is what makes those steps safe to run every day.
We design to your constraints. That can mean vendor models with a data-processing agreement, Canadian or private-cloud hosting, or keeping retrieval and logs inside your tenancy. We settle residency and retention before a pilot, not after a legal review finds them.
A focused pilot on one workflow is typically four to eight weeks from kickoff to operators using it, if the source systems are reachable and a process owner is available. Broader programmes follow after the first job is real.
You own the workflow, prompts, evaluations, and integrations we create for you. We do not lock the work behind a studio-only platform. Shared methods stay with us; your process stays with you.
A named process owner, access to a sample of real cases (redacted if required), and the systems the work already touches. We do not need a strategy offsite first.
Project inquiry
Describe the job as it runs today — for example, subject “Workflow: KYC exception queue”. This form opens a message to luke@ploski.ca — no account, no waiting room.