Agentic development and automation

Solutions for organisations governed by default

iSystematic designs, builds and operates AI agents that do defined work inside an organisation's own systems, under approvals the organisation sets and records it keeps.

What is agentic development and automation?

Agentic development and automation is iSystematic's build-and-run line for organisations: we design, build and operate AI agents that plan, act and check their work inside your own systems, under approvals you set and records you keep.

It serves mid-sized and large companies, public bodies, professional firms with an operations team, healthcare groups and nonprofits. Our governance and readiness practice diagnoses and governs; this line designs, builds and operates. Both work from the same frameworks, so a solution built here arrives with the records a governance review asks for, and a gap found there has a build team ready to close it.

For Canadian organisations

On the Canadian edition, four routes lead, each named for what is Canadian about it.

E-23 Readiness for FRFIs

For federally regulated financial institutions. OSFI Guideline E-23 takes effect on 1 May 2027, so the governance line goes first.

S12

Bilingual Service Desk (EN/FR)

A front door in English and French, answered from a bilingual knowledge base that a fluent person at your organisation reviews.

Canadian Policy Watch

Policy and Regulation Watch set to the Canadian official sources you choose, such as OSFI's guidance.

Council and Resident Desk

Council package preparation (S10) and resident questions answered from approved municipal documents (S6), with data residency in Canada stated per service.

Six capabilities

Every solution draws on six capabilities: automating a process, integrating systems, grounding answers, running a front door, operating agents and teaching the people who own them.

Agentic process automation

Agents that plan, act and verify inside your own systems, with each step checked before it counts.

MCP and integration engineering

MCP servers over your own systems, with tools that preview a change before any tool may write it.

Knowledge and retrieval

Answers from approved policies, contracts and manuals, with groundedness and recall measured.

Customer conversation automation

One front door across channels, implemented on ARIA by Simplification.io under an action policy you agree.

AgentOps

Monitoring, evaluations, a trigger register, vendor and model change checks, and retirement of unused agents.

Enablement

Staff workshops and team labs for the people who will own and run the agents.

Thirteen named solutions

Each solution is built from catalogue workflows and patterns and shows the frameworks behind its controls. All thirteen are Proposed: none moves to Piloting or Released before a documented pilot.

S1·Proposed

Leadership Briefing Desk

A dated briefing from approved sources, every item traced to its source, with a list of what could not be reached.

S2·Proposed

Policy and Regulation Watch

Checks the official sources you name, such as OSFI's guidance on Guideline E-23, records each version and reports real changes.

S3·Proposed

Front Door Agent

One front door across email, web chat, WhatsApp and forms, on ARIA by Simplification.io, with people handling what needs a person.

S4·Proposed

Intake to Onboarding

Lists what is missing from each request, prepares the onboarding pack and opens tasks only after approval.

S5·Proposed

Vendor Intake and AI Diligence

Runs a vendor-risk questionnaire on each new AI tool and drafts the gate decision for a person to sign, with OSFI Guideline E-23 in view.

S6·Proposed

Knowledge Desk

Answers staff questions only from approved, versioned documents, cites the section, and refuses when the source is missing.

S7·Proposed

Meeting-to-Action Operations

Turns consented recordings or notes into decisions, owners and dates; tasks are created only after approval.

S8·Proposed

Receivables Assistant

Prepares reminders for confirmed unpaid invoices only, with exact amounts; paid or disputed items are blocked.

S9·Proposed

Research-to-Decision Office

A one-page decision memo with its evidence ledger, separating evidence, assumptions and unknowns.

S10·Proposed

Board and Committee Pack Preparation

Checks papers against the agenda and drafts the cover summary with a source map; no figure enters that its owner did not supply.

S11·Proposed

Governed Agent Factory

One build line for every agent: declared contracts, evidence for every control and five gate records, ready for second-line review.

S12·Proposed

Bilingual Service Desk

A front door in two languages, English and French in Canada or English and Arabic in the GCC, from approved bilingual sources.

S13·Proposed

Practice Platform

Website, knowledge library, firm assistant, front door and answer-engine presence for a professional firm, under one set of boundaries.

Every solution is governed by default

Every solution passes through the five gates of the Five-Gate Deployment Model™, and each stage leaves a record the client keeps.

Discover

The task, its owner, its baseline time and its data sensitivity are recorded. Record kept: the G1 record.

Design

Boundaries and approvals are named, with a BOE Declaration for each control. Record kept: one BOE Declaration per control.

Build

Agents, tools and evaluations are built, and tools preview a change before any tool may write it. Record kept: the G2 record.

Release

A named person approves the release (G3), and the deployment is recorded (G4). Records kept: the G3 and G4 records.

Operate

Monitoring, a trigger register, a watch on model and vendor changes, and retirement once an agent is no longer used (G5). Records kept: the G5 record and a monthly AgentOps note.

What the client holds

The client holds the five gate records and a BOE Declaration for each control as part of the build, not as an extra. An organisation that later needs an E-23 Readiness Review or an AI Governance Teardown already holds the records those diagnoses look for.

Engagement shapes

Engagements come in five shapes, and most organisations move through them in order: assess, pilot, build, operate.

Shape	Duration	What it produces	Price basis
Automation Assessment	2 weeks	Ten candidate tasks scored on frequency, effort, data sensitivity and risk; three recommended solutions with levels; a baseline measurement plan	Fixed fee
Pilot	6 weeks	One solution live for one team, with baseline and after measured as the catalogue specifies	Fixed fee
Build	Scoped	The solution in production with its gate records	Scoped after the pilot
AgentOps	Monthly	Monitoring, evaluation re-runs, vendor and model change checks, a monthly note, and retirement of unused agents	Monthly retainer
Enablement	By format	Staff workshops and team labs	Per format

No prices are published. A fixed fee is shared on a short call, a build is scoped after the pilot, and AgentOps is billed monthly.

When the governance line goes first

The governance line goes first when a regulator or a board will ask how AI is controlled before anything is built; governance and readiness sets out both readiness routes.

Situation	Route
Federally regulated financial institution in Canada, with any AI system of non-negligible risk	The E-23 Readiness Review first, or in parallel with the Assessment
Regulated institution elsewhere, or a board asking whether AI is under control	AI Governance Readiness, through the AI Governance Teardown, first
Healthcare group touching patient information	The Automation Assessment, with a privacy review of each candidate task before design
Everyone else	The Automation Assessment

Start

Start with the Automation Assessment

Two weeks, a fixed fee shared on a short call, ten candidate tasks scored and three solutions recommended.

See the Automation Assessment →Talk to us