Walk into the meeting prepared.
A skill assembles a customer brief from authorized Salesforce records and approved knowledge. An agent drafts the follow-up and suggests CRM updates. The account owner reviews before anything is sent or changed.
LEX-AI-M / AI THAT CAN DO THE WORK
We help your people use AI tools and skills, connect agents to real workflows, and build the secure infrastructure to run it all.
01 / IN PRACTICE
AI earns a place in the business when a person can point to work that became faster, clearer or easier to review. These are the kinds of workflows we design.
A skill assembles a customer brief from authorized Salesforce records and approved knowledge. An agent drafts the follow-up and suggests CRM updates. The account owner reviews before anything is sent or changed.
An agent reads an incoming request, checks the relevant procedure, gathers supporting facts and opens a case with a proposed next step. A team member makes the decision and the record keeps the trail.
AI helps draft infrastructure code and runbooks. Independent review, tests and security checks challenge the change; an owner approves the plan before the deployment pipeline acts and telemetry confirms the result.
02 / WHAT WE BUILD
The right starting point may be an employee tool, an agent workflow or an existing platform that needs stronger foundations. Each piece should fit the systems and controls around it.
Start with the work already on their desks: writing, research, analysis, meetings and finding the right answer. Turn recurring tasks into reusable, role-specific skills and give people practice using them.
Connect an agent to the documents, tickets and business applications it needs. It can retrieve evidence, prepare a response and propose an action; a person approves consequential changes.
Move beyond a demo with an AI platform that can ingest data, serve models, run agents and connect to existing workloads. Design the network, identity and deployment path for production from the start.
Decide what data AI may use, what each agent may do and who is accountable. Map controls to your privacy, security and compliance obligations; test them before launch and watch them in production.
ALSO / SALESFORCE END TO END
We set up and configure Salesforce, clean and migrate data, connect it to other systems, automate workflows and provide ongoing support. Where it fits, we can connect Salesforce AI and agents to permissioned data, approval steps and an audit trail.
SETUP · CONFIGURATION · MIGRATION · INTEGRATION · SUPPORT03 / HOW WE DELIVER
The controls follow the work from the first design session through production operation.
Identify the user, decision, systems, permitted data, baseline effort and a measurable outcome.
Create the skill, agent or application around one workflow; connect only the tools and knowledge it needs.
Evaluate answer quality and failure cases, protect sensitive data, limit agent permissions and require approval at the right step.
Deploy through controlled pipelines. Monitor quality, security, cost and adoption, then improve from actual use.
04 / WHAT COMES NEXT
As agents take on multi-step work across applications, the practical questions become: whose identity do they use, which tools may they call, when must a person approve, and how do we reconstruct what happened?
We design for that future now: scoped identities, policy at the tool boundary, repeatable evaluations, visible decisions and a way to stop or roll back an agent.
05 / PEOPLE BEHIND THE WORK
Technical delivery, product decisions and day-to-day operations need to work together.
Scroll through the photos to reveal AI-imagined childhood portraits. Scroll back to see the present again.
01Technical Lead · Senior Data & AI Architect
With 20+ years of engineering experience, Tom modernizes enterprise data foundations and orchestrates multi-agent AI systems. He connects ERP, Snowflake and legacy databases to modern AI layers including RAG, vector indexing and zero-copy federation.
Open to connecting on enterprise data transformation, agentic AI frameworks and architectural strategy.
02Technical Lead
03Vice President and Supreme Leader
Inna’s experience includes leading employee technologies for Canadian Business Banking at BMO Financial Group. Her work spans digital strategy, AI, transformation and simplifying how teams work.
04Executive Product Manager
As a Program Manager, I lead complex, cross-functional initiatives that connect business strategy with technology execution to drive meaningful, measurable outcomes. I align priorities, optimize resources, manage dependencies, and proactively resolve blockers and bottlenecks to enable high-impact delivery.
I focus on delivery excellence—balancing scope, quality, timelines, resources, and budget while navigating ambiguity and complexity. I empower and coach teams to strengthen ways of working, improve collaboration and transparency, continuously improve delivery, and stay focused on business and technology value.
Passionate about building high-performing, empowered teams and creating the clarity, alignment, and leadership needed to turn strategic priorities into successful outcomes.
Chief Operating Officer
06Chief Executive Officer
A Professional Engineer and PMP with an MBA and an MSc in electrical and computer engineering. Dmitri founded DLSA Consulting and has led work in industrial automation, technology leadership and chip design.
More about Dmitri06 / START WITH ONE WORKFLOW
Tell us who does the task, which systems they use and where the process gets stuck. We can start there, whether the answer is a skill, an agent, infrastructure work or Salesforce support.
Book a 30-minute call on CalendlyA few details are enough to get the conversation started.