FAQ
Frequently asked questions
Clear answers about what NeuralNarrativeAI is, how our platform works, and what you can expect from an engagement. If your question is not covered here, contact our Montreal team.
Q1: Is NeuralNarrativeAI a marketing agency?
No. NeuralNarrativeAI is an applied AI narrative intelligence platform headquartered in Montreal. We design, orchestrate, govern, sequence, validate, and deploy LLM-powered storytelling systems. We do not create advertising campaigns, manage social media accounts, produce promotional videos, or run marketing programmes on behalf of clients. We are not a web studio and we do not build websites. We are not an IT outsourcing firm and we do not provide general software development. Our sole focus is narrative infrastructure — the templates, beat libraries, orchestration pipelines, and governance frameworks that enable your team to generate structured, governed stories from your own data.
Q2: Do you guarantee specific outcomes or performance metrics?
No. NeuralNarrativeAI does not guarantee engagement rates, conversion improvements, viral reach, revenue growth, or any other business performance metric. Narrative output quality depends on multiple factors outside our control: the quality and completeness of your source data, the clarity of your editorial guidelines, the rigour of your human review processes, and the behaviour of third-party language models. We provide infrastructure, training, and consulting services — not outcome guarantees. Any projections discussed during sales conversations are illustrative scenarios, not promises. We encourage clients to define their own success criteria based on editorial quality, operational efficiency, and compliance — not vanity metrics.
Q3: What is applied AI narrative intelligence?
Applied AI narrative intelligence is the discipline of building production systems that combine large language models with structured narrative frameworks. Rather than treating AI as a copywriting shortcut, we architect pipelines where every generated story follows defined beat sequences, voice constraints, and validation gates. The result is machine-assisted storytelling that remains traceable to source data, revisable by human editors, and governable under privacy and compliance requirements. It is the infrastructure layer between your data and your audience — not a replacement for editorial judgment.
Q4: Who are your typical clients?
We work with SaaS product teams building in-app narrative experiences, research organisations synthesising findings for stakeholders, healthcare communicators producing patient education content, documentary producers structuring narrative arcs from raw footage metadata, and enterprise knowledge teams automating internal briefings. Our clients share a need for governed, repeatable narrative generation — not one-off creative campaigns. Most are based in Canada or North America, though we support remote engagements across time zones.
Q5: How does a pilot programme work?
Pilot programmes typically run six to ten weeks. Week one and two cover narrative design: mapping your data to story architecture and selecting beat libraries. Weeks three through six focus on orchestration setup and initial generation testing. Weeks seven through ten address validation, governance gate configuration, and staging deployment. Pilots conclude with a review session, documented recommendations, and optional transition to full deployment. Pilot scope is defined jointly during the discovery phase — we do not offer one-size-fits-all packages.
Q6: Can we use our own LLM provider?
Yes. Our platform is model-agnostic by design. We integrate with Azure OpenAI, AWS Bedrock, Anthropic Claude, OpenAI direct, Mistral, Llama self-hosted endpoints, and other providers. During orchestration setup, we configure prompt chains and routing logic around your chosen models. This approach protects your investment — if you switch providers, your narrative architecture, templates, and beat libraries remain intact. Only the model layer changes.
Q7: Where is our data processed and stored?
NeuralNarrativeAI hosts on Canadian and North American infrastructure. Enterprise clients can specify data residency requirements — Canadian-only processing is available. We comply with PIPEDA and Quebec privacy legislation. Source data used in narrative pipelines is processed according to your governance configuration: some clients require all processing within their own cloud tenancy, while others use our managed staging environment. Data handling details are documented in our Privacy Policy and addressed during governance advisory engagements.
Q8: What is the difference between programmes and services?
Programmes (NNA-101 through NNA-601) are structured training modules that build your team's capability to design and operate narrative pipelines independently. Services are hands-on consulting engagements where our team does the work alongside yours — design studio sessions, orchestration builds, governance advisory, validation setup, deployment, and ongoing operations retainers. Many clients begin with a programme to build internal knowledge, then engage services for production deployment. Others start directly with a pilot service engagement.
Q9: Do you offer support after deployment?
Yes. Our Narrative Operations Retainer provides ongoing template updates, model migration assistance, governance reviews, performance monitoring, and quarterly architecture audits. Deployment engagements include thirty days of post-launch support. Programme graduates receive thirty-day access to template libraries and community forums. Extended support is scoped based on your operational needs — contact us to discuss retainer options.
Q10: How do I get started?
Contact our Montreal team via the form on our Contact page or email [email protected]. We will schedule a discovery call to understand your use case, data sources, governance requirements, and timeline. From there, we recommend either a narrative demo, a pilot programme proposal, or a programme enrolment path. We respond to all enquiries within two business days.