Applied AI for your business
Find information, process documents, draft a response or prepare an action: we integrate AI with your data and tools to ease everyday work, with results evaluated against your real cases.
A 30-minute first conversation · In English or French
An example workflow
The incoming request, authorized documents and the context in the customer record.
Find relevant details, summarize the need and suggest a response with its sources.
Review the draft and missing information before sending it or taking the next action.
A scenario to adapt to your processes, access permissions and required level of review.
Start with the work to be done
Together, we choose a specific use, accessible data and an outcome to measure. Here are examples of solutions we can build.
Procedures, documents and answers are scattered. Your teams spend time searching or keep asking the same people.
What we can put in place
A search assistant across your authorized sources, with references people can open and a clear indication when information is missing.
Invoices, forms, contracts and reports need to be read, classified and re-entered before they can be used.
What we can put in place
Extract useful information, classify documents and prepare data, with checks and review of uncertain cases.
Handling a request means checking several tools, gathering context and preparing the same actions each time.
What we can put in place
AI agents connected to your tools to summarize a record, draft a response or suggest a task, within defined permissions and approvals.
You want to offer better search, summaries or assistance tailored to the people using your application.
What we can put in place
AI features integrated into an existing product or a new application, tested with your users and connected to your data.
An Automathing product · In production
TowerZ connects analysis, planning and operations to understand your business, clarify priorities and turn meaningful signals into action. Its AI agents work from your business data and prepare actions for your review.
We develop and operate a complete AI application in production, used by multiple companies.
What your project should deliver
The deliverable covers the user experience, data connections, quality criteria and operating arrangements.
We define the tasks assigned to AI, authorized sources, permitted actions and the points where your team needs to intervene.
We test representative cases with your teams: response quality, extraction accuracy, processing time and usage cost.
Documentation, training, user feedback and support arrangements are defined. Cost and quality are monitored within the agreed scope.
We bring together the components your use case needs, based on your data, tools, operating costs and confidentiality requirements.
Find relevant context and generate an answer using the available sources.
Provide access to the required capabilities and define which actions AI can suggest or execute.
Read documents and turn their content into usable information.
Compare expected and actual results, then observe how the solution works in production.
Models, providers and hosting are chosen after clarifying the need and the conditions for using your data.
Our framework applied to AI
Each phase has an objective and deliverables. Select a step to explore the corresponding section of our framework.
Understand the work, available data, access and current baseline.
Choose a use case based on usefulness, feasibility and effort, then define success criteria.
Connect data and tools, prepare the prototype and define human approvals.
Test with users, measure quality, response times and costs, then decide what to adjust.
Roll out gradually, verify access, train the team and plan for rollback.
Review feedback, errors and costs. Re-evaluate the solution as usage or models change.
Yes. We start with time-consuming tasks, available information and the difficulties you face. We then compare possible uses to choose a useful first scope. A conventional integration or automation may also be the right answer.
We can integrate AI into existing software where access allows it. Your teams bring domain knowledge and take part in validation. Our founders, consultants and partners can collaborate with your internal teams and providers.
Before connecting data, we review access, hosting, retention and provider terms, including any use of data for training. The choice of a hosted service or private deployment depends on your requirements and feasibility.
We evaluate the solution against representative cases, define usable sources and plan human approval for actions that require it. Errors, missing information and cases to hand over to a person are part of the design and monitoring work.
They depend on the use case, data, integrations and expected level of validation. We propose a scope and estimate after diagnosis. Model, hosting and support fees are specified so you can understand the operating cost.
We establish a baseline and criteria before the pilot: time spent on a task, result quality, corrections needed, adoption and cost per use. These observations inform whether to proceed, adjust or stop.
Understand how to move from an idea to a use that makes sense for your business.
Read the articleExplore the value of retrieving information from your sources and the limits of this approach.
Read the articleOur approach to specialized agents, illustrated through software development.
Read the articleGive the solution access to useful information in your applications.
Explore integrationConnect steps, approvals and follow-ups around the work performed by AI.
Explore automationCreate or evolve the application where your teams and customers use AI.
Explore custom developmentStart with your situation
Tell us about a task, the documents or tools involved and the outcome you want. We’ll help you choose a useful first application.
A 30-minute first conversation · In English or French
Based in Sherbrooke, we support your teams in English and French.
