Toronto · AI & Decision Advisory

Sahan Advisory.

We scout the ground before you build.

Most AI projects fail before the first line of code: the wrong problem, messy data, or no plan for the people who have to use it. We help growing companies find where AI and automation will genuinely pay off, build it properly, and make better decisions with the data they already have.

8+
years in data, BI & automation
40K+
users scaled from <100
~20%
manual work automated away
2
regulated industries: banking & health

01. Why Sahan

In Somali tradition, the sahan were the scouts sent ahead before a community moved. They walked the land first, found the water and the safe paths, and came back with an honest report so everyone could decide where to go.

That's the job we do for companies adopting AI. Before you commit budget, people and reputation, we go ahead: we look at your data, your processes and your goals, and tell you plainly what will work, what won't, and what to do first.

Sahan Advisory is an independent practice led by a senior data and AI practitioner with more than eight years inside a major Canadian bank and a fast-growing HealthTech company. We've built the pipelines, automation and dashboards ourselves, under real regulatory pressure, so our advice comes from doing the work, not just describing it.

02. Services

Six ways we help, from a first look at your options to building and running the solution.

AI Readiness & Strategy

We map where AI can create real value in your business, check whether your data can support it, and give you a prioritized roadmap with costs, risks and quick wins.

  • Assessment
  • Roadmap
  • Use cases

AI & Automation Implementation

We design and build the automation, from data pipelines to LLM-powered tools, that removes repetitive manual work and frees your team for higher-value tasks.

  • Python
  • LLMs
  • Workflow automation

Decision Support & Analytics

Dashboards and analysis that answer the questions your leadership actually asks, so decisions rest on evidence rather than gut feel or the loudest voice in the room.

  • Power BI
  • Tableau
  • KPIs

Data Foundations

AI is only as good as the data under it. We clean up pipelines, warehousing and data quality on AWS and SQL platforms so your numbers tie out and your models can be trusted.

  • ETL
  • AWS
  • Data quality

Governance & Responsible AI

Practical rules for how data and AI tools are used: access, privacy, duplication and auditability, shaped by experience in heavily regulated environments.

  • Governance
  • Privacy
  • Compliance

Team Enablement

Hands-on training and playbooks so your people can use AI tools well, evaluate vendors critically, and keep improving what we build together after we step back.

  • Training
  • Playbooks
  • Change management

03. How We Work

  1. 01

    Scout

    We learn your goals, processes and data, and talk to the people who do the work.

  2. 02

    Map

    You get an honest report: the opportunities worth pursuing, the risks, and a clear first step.

  3. 03

    Build

    We deliver one high-value use case end to end and measure the result against a baseline.

  4. 04

    Hand over

    Documentation, training and support so your team owns it, then we scale what works.

Ways to work together

AI Readiness Sprint · the scouting report

Typically 2–3 weeks · Fixed scope

  • Interviews with leadership and the teams closest to the work.
  • A review of your data sources, quality and tooling.
  • A ranked list of AI and automation opportunities with estimated value, effort and risk.
  • A one-page recommendation and a 90-day roadmap you can act on with or without us.

04. Track Record

Work our founder led before starting Sahan. Organizations aren't named, out of respect for their confidentiality.

Compliance automation · Major Canadian bank

Fewer False Alarms

Built automation for compliance officers that combines expert rules with pattern-based indicators, so only genuine breaches get flagged. Investigators spend their time on real cases instead of noise.

  • Python
  • SQL
  • Risk & compliance

Growth & deployment · HealthTech startup

<100 to 40,000+ Users

Led a four-person data and deployment team through hypergrowth: automated the release and reporting process, set data governance rules on AWS, and fed user insights straight into the product roadmap.

  • AWS
  • Python
  • PostgreSQL

Automation & decision support · Major Canadian bank

20% Less Manual Work

Replaced recurring manual platform maintenance with an end-to-end automated workflow, and built visualizations that let senior risk leaders spot patterns across large volumes of alerts at a glance.

  • ETL
  • Tableau
  • Power BI

05. What's Next?

Let's Scout Your Next Move

Tell us what you're trying to decide or automate. The first conversation is free, takes about 30 minutes, and you'll leave with at least one useful idea whether or not we work together.

Book a free intro call

or email [email protected]