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description=Practical AI governance for small businesses. Codecision helps your team set AI policies, decide what stays human, and make accountability clear.;

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codecision ai governance for small business skip to main content problems we solve how we help who we are insights let s talk problems we solve how we help who we are insights book a discovery call own the decisions your ai makes your team is already using ai give them clarity on what happens next practical ai governance for small businesses what to delegate what to check and when a person needs to decide book a discovery call see how we help better decisions build trust scroll to explore 01 05 problems we solve new tools same business problems 01 what does poor ai governance cost you whether you know it or not ai is already changing how your team works without clear rules about how ai is used reviewed and governed businesses can lose time money and more importantly customer trust 02 you re taking risks you can t see ai can produce errors expose sensitive information or make recommendations that don t fit your business without clear expectations you may not know where those risks sit until something goes wrong know where ai can act where humans need to review and where the line should be drawn 03 ai made a recommendation who decides a tool suggests a next step that affects a customer or your business your team needs to know who can approve it and when to pause keep responsibility clear when decisions matter 04 client information is entered in a public ai tool an employee copies and pastes a customer s details into a chatbot to save time your company is now responsible for sharing information against what is stated in your privacy policy and or a client contract worst of all no one else in the organization is aware set shared rules for what can and can t be shared without shutting down experimentation ai is being used where it shouldn t be how we help practical ai governance built around how you work start with where you are set the policies first then build a practical structure for who decides and when with your teams 01 map where ai is used and what it decides we start with how your team uses ai today then we sort the work by what s at stake tasks ai can handle on its own tasks where a person reviews the output and decisions that stay with a person you see where the risk sits and where the line belongs 02 create the rules your team will follow a plain language policy that covers what can be shared with ai tools who approves what and how review happens it aligns with iso 42001 the eu ai act and the nist framework so it holds up when a client asks your team gets clear expectations and experimentation can continue 03 build the documents behind the policy procurement questionnaires and contract reviews want paper not promises we put together the records procedures and approvals that back up what you say about your ai use when a client asks how you handle ai you have a written answer ready 04 stay up to date things will go wrong at some point we set up a simple log to record what happened and what changed afterward so each incident improves the rules instead of repeating your governance gets stronger as your use of ai grows policy packs for every major regulatory framework start with a policy pack shaped to the framework your customers partners or board are asking about we adapt it with your team so it reflects how your business actually works eu ai act nist ai rmf iso 42001 not sure where to start book a conversation we ll look at how your team uses ai today and tell you what a first step would look like book a conversation our philosophy good ai use starts with human judgment your people know your customers your standards and the context behind a decision ai can support their work without taking that judgment out of the picture practical governance makes space for experimentation while keeping responsibility clear the policies and decision structure we build together are meant to be used explained and adapted as your business changes let s talk about your team who we are two perspectives one shared purpose systems thinking meets the human side of change we help leaders build organizations that make better decisions alongside ai strategy systems thinking ali eli amin co founder a strategy and engineering professional helping organizations improve how they think and operate eli brings systems thinking and ai adoption together to build organizations that adapt grow and make better decisions leadership organizational change eden spodek co founder a strategic advisor and certified leadership and executive coach with more than 30 years in digital transformation eden focuses on the human side of ai stronger decision making clear accountability and responsible change insights lessons from the founders practical stories about ai human judgment and the decisions in between see all insights practical ai adoption eden spodek why prompting ai is like restoring an antique table the quality of what ai gives back depends on what you bring to it and a good output is never the finished product human oversight eli amin m eng the turkey problem why a clean ai record means nothing without controls a long record of good ai days says little about the next one so build controls that make being wrong cheap small business strategy eden spodek ikea didn t just automate it decided ikea treated what happens to people whose work changes as a governance decision and every organization needs a process for making that call ai governance faq good questions a place to start what is ai governance for a small business it s a shared way of deciding how your business uses ai which work and information are appropriate for it what needs human review and who is responsible codecision helps turn those expectations into practical policies and decision structures not just rules that sit in a folder our employees already use ai can we start there yes you don t need an organization wide ai rollout to begin individual employees may already be experimenting with tools we start with how your team actually works and help establish shared expectations while leaving room to learn and experiment what do we receive from working with codecision an assessment report provides a starting point from there we work with your teams on ai policies responsibilities and a documented decision structure what ai can handle where human judgment is required and who is accountable we discuss the scope of your engagement together is codecision another ai software platform no codecision works with leaders and teams on how humans and ai work together our focus is the policies responsibilities and decision structures around ai use not selling you another ai tool is this about replacing people with ai no our work is about deciding deliberately how humans and ai work together human judgment is a design choice not a fallback the goal is clarity about what stays human and why let s talk what s happening with ai on your team tell us what your people are trying where work needs a closer look or which decisions feel unclear let s discuss a practical place to start book a discovery call human judgment ai capability clear accountability inquiries codecision io 20 bay st 1100 toronto on m5j 2w3 problems we solve how we help who we are faqs contact insights how we use ai land acknowledgement we recognize that our main office is situated on the traditional territory of many indigenous nations including the mississaugas of the credit the anishnabeg the chippewa the haudenosaunee and the wendat peoples this land is also home to many diverse first nations inuit and métis communities we further acknowledge that toronto is covered by treaty 13 and is the traditional territory of the mississaugas of the credit 2026 codecision powered by fractal and spodek co back to top edit with