AI-powered spend management
Automated categorisation and real-time bank reconciliation.
View case →We design, implement and operate AI workflows and agents for practices, organisations and regulated institutions, with approval before every commitment and a record of every action.
Each profile opens a page in your words, with one recommended way to start.
You answer your own clients, patients and tenants, and the week is full of the same messages.
You are asked what the organisation is doing with AI, and what it has saved.
Your board and your regulator will ask whether AI is under control, and you need to show it.
Thirteen named solutions, designed, built and operated with a gate record for every agent.
Readiness reviews, the Teardown, architecture and advisory, led personally by Nabeel Khan.
Workflows that run in your own AI assistant: a free card, set up with you, cared for monthly.
Not sure which fits? See every service or start with who you are.
453 college-educated professionals (marketers, grant writers, consultants, data analysts, HR professionals and managers) in a preregistered online experiment; half were randomly given ChatGPT. The tasks were paid, occupation-specific writing assignments of 20 to 30 minutes: press releases, short reports, analysis plans and delicate emails.
Short, self-contained tasks in an experiment, without context-specific knowledge; the authors say this may inflate the estimates. Quality was graded by evaluators.
Noy and Zhang, Science, 2023 ↗5,172 customer-support agents at one firm, a Fortune 500 company that sells business-process software. The assistant was introduced in stages, not in a randomised trial. Task: customer-support chat, measured as issues resolved per hour.
The most experienced and highest-skilled agents saw small gains in speed and small declines in quality. The authors say the findings apply to one AI tool, used in one firm, in one occupation.
Brynjolfsson, Li and Raymond, Quarterly Journal of Economics, 2025 ↗758 Boston Consulting Group consultants in total, in a preregistered experiment, randomly assigned to no AI, GPT-4, or GPT-4 with a prompt-engineering overview. These figures come from the 385 who worked on 18 realistic consulting tasks inside the AI's capability, such as developing new product ideas.
The gains held only for tasks inside the AI's capability. On a task outside it, consultants using AI were less likely to be correct (E3b). One firm, GPT-4 as it was in 2023, and a working paper.
Dell'Acqua et al., Harvard Business School working paper, 2023 ↗16 experienced developers, with about five years on their projects, working 246 real issues in their own mature repositories; each issue was randomly assigned to AI allowed or not allowed. The main tools were Cursor Pro with Claude 3.5 and 3.7 Sonnet, February to June 2025.
Early-2025 tools, and expert users on familiar, complex work. METR says the result does not show that AI fails to speed up most developers. In February 2026 METR gave the 95% confidence interval as 2% to 39% slower, said developers are likely more sped up now, and said its newer data give an unreliable signal because developers opted out of working without AI.
METR (Becker, Rush, Barnes and Rein), 2025 ↗Published studies, not our results. Ours will come from documented pilots.
All sources →Every solution, workflow and implementation is assembled from the same deposited frameworks, and each page says which parts it uses and what you keep at the end.
One repeated task: its owner, how often, the data it touches, the time it takes today.
Boundaries and approvals named before anything is built, with what must never happen written down.
Built and tested against fictional, ambiguous, duplicate and adversarial cases before it reaches you.
An owner, a review date and an off switch. Measured against the baseline, retired when unused.
We partner with forward-thinking companies to build AI products that hold up in production.
View all cases →Automated categorisation and real-time bank reconciliation.
View case →AI/ML-driven forecasting avoids stock-out and overstock risk.
View case →OCR + AI for real-time expense report processing.
View case →ML models to surface high-fit candidates and open roles.
View case →Short answers about how iSystematic works, what it builds and what an engagement looks like.
iSystematic is an applied-AI studio. It builds and operates agentic systems and automations for organisations, runs an enterprise practice in AI governance and readiness, implements ARIA by Simplification.io for customer conversations, and sets up workflows for practices and firms in their own AI assistants.
iSystematic works with thirteen kinds of customer in three groups: practices and firms (clinics, law firms, accounting firms, property management, service businesses and independent professionals), organisations (operations, customer service, engineering, compliance and procurement, and municipalities) and regulated institutions (Canadian financial institutions and GCC institutions). Each has its own page with one recommended way to start.
iSystematic Inc. was founded by Nabeel Khan in 2013, in Canada. Nabeel Khan is a Defensible AI Architect, working in enterprise AI architecture and AI governance for regulated institutions. He leads iSystematic's enterprise practice and is the author of the books and deposited specifications the work is built on.
On enterprise engagements, yes. iSystematic is a studio with a team of builders, and build work is delivered by that team. iSystematic's enterprise practice, covering AI governance and readiness, enterprise AI architecture and advisory, is led by Nabeel Khan personally, and those engagements are scoped that way from the start.
iSystematic Inc. is a Canadian company. iSystematic works with clients across Canada, the United States and internationally, and operates as a distributed team rather than from a single office.
iSystematic's workflows run standalone in the customer's own Claude, ChatGPT, Perplexity or Grok account, where the workflow has been verified on that platform; iSystematic does not resell them. Work for organisations is model-agnostic.
Not by default. Every iSystematic workflow prepares, and a person approves before anything is sent, booked, paid, published or changed.
iSystematic's intake never asks for patient records, client files, identity documents or passwords. Workflows that touch confidential data are designed with the least access needed and run in accounts the customer controls.
iSystematic's workflow cards are free. Setup is priced on a short call until the first packs are released, and prices are published then. Work for organisations and the enterprise practice is scoped on a call.
No. The figures on this site come from published studies, each linked to its source. iSystematic's own results will be published only from documented pilots.
Use the contact form on this site. iSystematic responds to inquiries within one business day, Monday to Friday.
One repeated task is enough to start. We reply within one business day, and the form tells you the next step that usually fits.