Studio services
Generative-AI and automation, built for your operations
SynthPulse delivers applied-AI consultancy and custom build work for Canadian businesses — from discovery sprint through production deployment and retainer support. These are project and retainer engagements, not software licences, not accredited courses and not get-rich-quick schemes. Every discipline includes human-in-the-loop design and honest limits on accuracy.
Interface iteration — eval criteria and guardrails defined before wider rollout.
1. Generative-AI Strategy & Prototyping
We open with a structured discovery sprint: map workflows, identify where large language models add value versus where rules suffice, and define a gen-AI prototype scope your leadership can approve. AI strategy workshops cover responsible AI, data privacy under PIPEDA and realistic roadmaps for SMEs and enterprise teams in the Canadian market. Deliverables include use-case prioritization, integration sketches and a proof-of-concept plan with CAD fee ranges. We do not promise guaranteed ROI — we promise engineering clarity and a prototype loop you can measure.
2. Content & Creative Generation Systems
Brand-aligned content generation for catalogues, knowledge articles, internal comms and campaign drafts — always with approval workflows, not unchecked bulk output. We wire tone guardrails, retrieval-augmented generation from your knowledge base and model evaluation suites so marketing and legal teams stay in control. Machine learning fine-tuning is scoped only when your data supports it. Analytics dashboards show what was generated, what shipped and what humans edited — measurable outcomes without hype.
3. AI Assistants & Conversational Automation
Conversational AI for support, internal help desks and field teams — connected to CRMs, ticketing and your API integrations. Retrieval-augmented generation grounds answers in approved documents; guardrails block off-topic or sensitive requests. Agent orchestration routes edge cases to people. We ship with eval harnesses and monitoring because assistants that nailed the demo can drift within weeks. Human oversight is architectural, not optional.
4. Workflow & Ops Automation (Agents + Integrations)
Workflow automation across the tools your ops team already uses — email triage, ticket classification, draft approvals, scheduled reports and handoffs between systems. AI agents act within defined boundaries; they do not replace accountability. Data engineering connects pipelines to your warehouses and knowledge stores. We document every integration, provide MLOps runbooks and offer retainer support for Canadian clients who need a live pulse on automations after launch.
5. RAG & Knowledge Systems
Retrieval-augmented generation infrastructure for enterprises that cannot afford hallucinated answers — chunked knowledge bases, embedding pipelines, access control and audit logs. We design data pipelines from SharePoint, Confluence, PDF archives and custom APIs. Model evaluation benchmarks retrieval quality before go-live. This is your data, worked on for you — we never sell or broker client data. Production deployment includes API integration patterns your engineering team can extend.
6. Evaluation, Guardrails & Monitoring (MLOps)
Live monitoring dashboards, drift alerts, guardrail tests and responsible-AI reviews for generative systems already in production — or bundled with new builds. Model evaluation covers accuracy limits openly: we report where systems fail, not just where they shine. MLOps cadence includes regression suites, logging and incident playbooks. Retainer engagements from C$6,500/month keep senior AI engineers available for iteration, roadmap updates and PIPEDA-aligned data handling reviews.
Late eval pass — monitoring thresholds adjusted before client handoff.
Results disclaimer: SynthPulse provides generative-AI design, development and consulting for client organizations. AI outputs can be inaccurate or biased and require human review. We do not guarantee specific business results, savings or return on investment. Outcomes depend on data quality, scope, budget and adoption.
Scope a prototype with us
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