We embed AI workflows and agents into repetitive, information-heavy processes and deliver measurable outcomes — hours saved, cycle time reduced, error elimination, and faster collections.
Startir.ai is a boutique AI consultancy founded by seasoned commercial banking operators with 20+ years of advisory experience. We are business-first ROI operators who speak P&L, cash flow, efficiency, controls, and auditability — not AI jargon.
That background gives us high trust and credibility with owners and CFOs. We understand regulated environments, operational constraints, and the nuance of stakeholder-heavy businesses. Every engagement is tailored to your workflows, people, and decision cycles — so implementation is fast and adoption is realistic.
We bring senior-level business operations expertise — forged in commercial banking across industries — to an AI market that routinely overpromises and underdelivers. Our rigorous assessment framework pinpoints only the workflows where AI will genuinely maximize ROI, and our lean, execution-focused team delivers every solution to an enterprise standard of quality — no inflated scope, no throwaway builds, just measurable results built to last.
No off-the-shelf playbooks. We co-design your solution from discovery through deployment, combining strategy, implementation, and enablement into one accountable partnership.
A fixed-fee engagement that maps your top workflows by ROI and feasibility, classifies data risk, and produces a 30/60/90-day implementation roadmap with a clear ROI model.
We select 1–2 workflows with clear ROI and low integration risk, deploy to a small group, measure before/after results, and refine — so you see value fast.
A monthly AI Ops retainer covering monitoring, optimization, governance, security updates, and quarterly workflow additions with KPI reviews.
Our audit and prioritization process is anchored by the Equation of Agentic Work — a rigorous, repeatable framework that replaces guesswork with a structured decision model. For every workflow, we evaluate three variables:
How long the task takes staff to do manually — hours per week, cycle time, and labor cost.
How likely AI is to produce acceptable output — driven by task structure, data quality, and clear completion criteria.
How long it takes to request, wait for, and evaluate the AI output — including review complexity and domain expertise needed.
We prioritize solutions where Human Baseline Time is high, Probability of Success is strong, and AI Process Time is low — maximizing ROI per the delegation trade-off model. The result is a ranked prioritization matrix that clients immediately understand, no AI jargon required.
Tell us about your goals and we will follow up with the right next step.