Skip to content

AI Development · 05 AI Automation & Agents

Agents and automations that clear the manual backlog

Autonomous agents and workflow automation that remove repetitive, manual work from your operation. Connected to the tools your team already uses, with a person in the loop wherever a decision matters.

You own the models, code and IP Weekly demos Reply within one business day

Agent running - queue empty

Flow 04

01

Trigger

Webhook

02

Enrich

Normalise

03

Decide

Policy

04

Act

Resolve

Run log

> Matched 42 records

> Routed 7 exceptions to a human

> Closed 35 tickets automatically

35

Auto-resolved today

6h

Engineer time saved daily

AI Automation & Agents, in short

OlDevs designs and builds AI agents and workflow automations that take over repetitive, manual work such as data entry, document handling, ticket triage and multi-step approvals.The Vancouver studio connects agents to a client's existing systems through APIs and robotic process automation, orchestrates multi-step workflows with human checkpoints, and monitors every run in production. The service is built for corporations, associations, government bodies, franchises and entrepreneurs that want to cut processing time and errors without replacing their core software.

Key facts

01Discipline
05 of AI Development
02Focus
Agents, workflow automation, RPA
03Integration
APIs, webhooks, RPA connectors
04Human oversight
Approval checkpoints on sensitive steps
05Ownership
Client owns code and accounts
06Studio
Vancouver, BC, since 2014

05 · AI Automation & Agents

Hand the repetitive work to agents that finish it.

What we deliver in AI Automation & Agents

01

Autonomous AI agents

Task-specific agents that read context, decide, act across your systems and escalate to a person when they are unsure.

Agents · Tool use · Reasoning · Escalation · Guardrails

02

Workflow automation

End-to-end automations that move work between people and systems without anyone re-keying data.

Workflow · Triggers · Approvals · Routing · Notifications

03

Robotic process automation (RPA)

Software bots that operate legacy applications and screens where no API exists, on a schedule or on demand.

RPA · Legacy systems · Screen automation · Scheduling · Error handling

04

Agent orchestration

Multi-agent pipelines with a coordinator that assigns, sequences, retries and checks each step before the next begins.

Orchestration · Multi-agent · State · Retries · Queues

05

API and system integration

Connectors and webhooks that link your CRM, ERP, ticketing and finance tools into one flow with a single source of truth.

APIs · Webhooks · CRM · ERP · Sync

06

Human-in-the-loop controls

Approval queues, audit logs and kill switches so your team can review, override or pause any agent at any point.

Approvals · Audit log · Overrides · Permissions · Kill switch

Process

Our process for AI Automation & Agents

  1. Map

    We shadow the workflow, record every manual step and rank tasks by volume, error rate and time cost.

  2. Design

    We define what the agent may do, where it hands off to a person and which systems it connects to.

  3. Build

    We develop the agents, connectors and RPA bots in a staging environment against real but anonymised cases.

  4. Pilot

    A limited rollout runs beside the manual process so results can be compared before the switch-over.

  5. Monitor

    Dashboards, alerts and monthly reviews keep the automation accurate as your tools and data change.

How we work

How we build automation that holds up

01

Map the real process first

We sit with the people who run the workflow and log every manual step before writing any automation, so we automate what actually happens rather than what the procedure document says.

02

Bounded tools and permissions

Every agent gets a defined toolset and explicit permissions, so it can only take the actions you have approved and nothing else.

03

Escalate what matters

Sensitive or irreversible steps route to a named person for approval, with the agent's reasoning shown beside the request.

04

APIs before screens

We integrate through APIs wherever they exist and use RPA only where they do not, which keeps automations stable when interfaces change.

05

Log every run

Each run records its inputs, decisions and outputs, so any result can be traced, audited and explained.

06

Prove one, then extend

We start with a single high-volume workflow, measure the hours and errors saved, then use that baseline to prioritise the next.

Who it's for

AI Automation & Agents for organisations that have to get it right.

Whether the audience is a customer, a member, a citizen, or your own team, the work has to hold up under real use.

Corporations

Finance, HR and operations teams processing thousands of documents, tickets or approvals a month, where agents cut turnaround time and error rates.

Associations and government

Member services and public bodies handling applications, renewals and enquiries that follow clear rules yet still queue for manual review.

Franchises

Multi-location networks that need the same onboarding, reporting and compliance steps done consistently at every site.

Entrepreneurs and startups

Lean teams that want an agent handling intake, scheduling and follow-up so founders spend their time on customers instead of admin.

70%

less manual handling time on automated workflows

4–6 wks

typical first workflow in production

12+

years building software for Canadian organisations

Selected work

Selected AI automation & agents work.

Client names are withheld; the problem and the outcome are the point.

01AI

A city government in southern Ontario serving a population of about 180,000

Industry
Municipal government
Services
Natural Language · AI Automation & Agents
Duration
14 weeks
“Nothing goes out that one of our officers has not read, but they are approving replies now instead of writing them from scratch.”
— Director of customer service, mid sized municipality

Challenge

Residents wrote to eleven different departmental inboxes, and roughly a third of what arrived was in the wrong one. Staff spent their mornings reading messages only to forward them, bylaw complaints sat unread beside pothole reports, and nobody could say how long anything actually took. Council wanted faster responses without anything consequential being decided by software.

Solution

OlDevs built an intake layer that reads every incoming enquiry, classifies it by service area and urgency, extracts the address and the specific request, and drafts a reply in English or French. Routing is automatic, but the draft reply, any service request raised in the city's work order system and every escalation waits for a named officer to approve or edit it first. Each decision the classifier makes is logged with its confidence, so the city can see where it is wrong and retrain against real cases.

11→1

Intake inboxes consolidated

−47%

First response time

3.2x

Enquiries closed without rerouting

Read the case study

02AI

A third party logistics firm in Ohio that settles carrier invoices on behalf of about 300 shippers

Industry
Logistics and transportation
Services
AI Automation & Agents · AI Development
Duration
ongoing since 2025
“Our billing team now looks at the exceptions instead of every invoice, and when an auditor asks how one was approved we can show them the whole trail.”
— Controller, third party logistics provider

Challenge

Settling a single carrier invoice meant opening the invoice PDF, finding the matching load in the transport management system, checking the rate confirmation, chasing a missing bill of lading and then keying the result into accounting. Three people did this several hundred times a week and the backlog grew every quarter. Auditors also needed to see why any given invoice was approved, which nobody could reconstruct from email.

Solution

OlDevs built an agent that runs the whole sequence: it reads the invoice, pulls the load and rate confirmation through the TMS API, compares accessorial charges line by line, requests missing paperwork from the carrier, and posts the approved entry to accounting. Anything outside tolerance stops and goes to a human queue with the discrepancy shown. Every step, tool call and document version is written to an append only log in PostgreSQL, so an auditor can replay exactly how a given invoice reached its outcome.

4

Systems joined end to end

−72%

Manual handling per invoice

+29%

Invoices cleared same day

Read the case study

FAQ

AI Automation & Agents — questions we hear first.

A first workflow typically moves from mapping to production in four to six weeks. Simple integrations with clean APIs can go live sooner, while workflows that need RPA on legacy screens or several approval paths take longer. We agree a schedule after the mapping step, once we know exactly how many systems and hand-offs are involved.

Access to the people who run the process today, a set of sample cases (real or anonymised), and read access to the systems involved, such as your CRM, ticketing tool or document store. We also ask for a named owner on your side who can approve what the agent is and is not allowed to do. Nothing needs to be built or cleaned up before we start; the mapping step surfaces that work.

We choose per project. For agents we work with the major model providers and open-weight models, run through orchestration frameworks, and use low-code platforms such as n8n, Make or Zapier for simpler flows where they fit. For RPA we use established bot tooling. Everything connects through your systems' APIs and webhooks, and we can deploy in your cloud account or ours.

Every run is logged with its inputs, decisions, outputs and duration, so we report tasks completed, exceptions escalated, time saved against the manual baseline and error rate. You get a dashboard from the first day of the pilot and a monthly review covering accuracy, cost per run and where the agent asked for help most often.

You do. Code, prompts, workflow definitions and any fine-tuned models are delivered to your repositories, and platform accounts are opened in your organisation's name. Your data stays in your systems; agents read and write through your APIs and keep nothing beyond what logging requires. If we part ways, everything keeps running without us.

As one team. A practice lead runs the engagement, your process owner joins weekly reviews, and your IT staff or developers get access to the same repositories and staging environment we use. We document every connector and agent, and hand over with training so your team can adjust rules and add workflows without calling us.

It depends on the number of workflows, the systems involved and whether RPA or custom agents are needed, so we scope each project individually. Request a quote with a short description of the process you want to automate and we will reply within one business day with a scoped estimate and a recommended first workflow.

Still have a question? Ask us when you request a quote

Let’s connect

Let’s scope your AI automation & agents project.

Tell us what you’re building. We’ll reply within one business day with next steps and a tailored quote — no obligation.

We’ll only use your details to prepare your quote. No lists, no spam.

Call us Request a quote