Every Narratize agent works like an expert consultant on your team — drawing on your hub's full knowledge, external sources, and your own units of work to deliver analysis, recommendations, and alerts. Zero ego. No bias. Unlimited capacity.
A Narratize agent is an expert, ready whenever your team needs them. Full context on your product, unlimited capacity, no ego or bias getting in the way. Running one is as easy as asking for their help.
Every agent has complete access to your hub's knowledge, external sources, and your team's own units of work — so nothing important goes missing from the analysis.
Run an agent across every product, every program, every portfolio at once. Capacity isn't the constraint — your team's judgment on what to act on is.
Agents assess on evidence, not politics. They surface the hard truths — including the ones nobody in the room wants to say out loud.
Running an agent takes seconds, not planning cycles. Point it at the work, pick the mode, and the analysis begins. Your team stays focused on the decisions.
Your team chooses how each agent shows up in the work — as a one-time report, a regular rhythm of smart suggestions, or a continuous alert when something needs attention.
Your team runs the agent when they need a specific deliverable — a gate readiness analysis, a competitive landscape synthesis, a size-of-prize calculation. The agent works through the analysis once and returns a complete, source-traceable report.
Your team sets the cadence — daily, weekly, at each gate, whenever makes sense. The agent runs on that rhythm and surfaces actionable suggestions: patterns across programs, opportunities to apply prior learnings, connections your team would otherwise miss.
Some agents run continuously — watching your hub, your integrations, and your product's state. When something crosses a threshold your team cares about — a regulatory shift, a gate slippage, a compliance gap, a pattern worth noticing — the agent surfaces an alert.
Every agent is purpose-built for specific innovation work. Browse by what you're trying to get done — capturing knowledge, generating documents, evaluating decisions, or orchestrating your portfolio.
Conducts structured expert interviews with senior scientists, engineers, and operators — capturing the reasoning, decisions, and trade-offs behind their expertise.
Coordinates handoffs between R&D, engineering, regulatory, marketing, and commercial — so the “why” behind every decision travels with the artifact.
Surfaces the prior projects, analogous decisions, and organizational learnings relevant to the work in front of your team today. Your second product starts smarter than your first.
Proactively prompts your team with the right questions as they work — surfacing context they might be missing, decisions they haven't captured yet, and rationale worth documenting before it's forgotten.
Generates first-draft PRDs, compliance reports, scale-up packages, and launch briefs from the knowledge your team has already captured — grounded in sources, structured by phase, and ready for your judgment to land on top.
Reads any document — a PRD, gate deck, launch brief — and confirms every claim traces to evidence in your hub. Inconsistencies between documents surface automatically, so messaging stays true to what your team has actually proven.
Pulls together the market research, competitor intelligence, and voice-of-customer data your team has captured — then synthesizes it into positioning, segmentation, and opportunity framing ready to inform your next decision.
Runs structured assumption challenges against any product, program, or investment thesis — surfacing hidden risks, weak evidence, and untested dependencies. Your team sees what a thoughtful critic would see, before a reviewer does.
Calculates the opportunity — TAM, SAM, share assumptions, growth scenarios — using the market data your team has gathered alongside industry benchmarks and analogous product patterns. Every number carries its source and assumption logic.
Evaluates whether a product is ready to pass the next gate — assessing technical, regulatory, commercial, and scale-up readiness against your organization's criteria. Gate reviews arrive with the evaluation already done.
Compares your documentation against any requirements framework — regulatory, quality, program, or customer — so gaps surface before reviewers find them. Teams know exactly what to capture next, not after a review.
Checks regulatory documentation against FDA, CE, ISO, and other standards — verifying alignment with current requirements at the moment your team drafts the submission. Regulatory alignment becomes a native part of the work.
Evaluates the health, balance, and strategic alignment of your portfolio — surfacing which programs deserve more investment, which need redirection, and where cross-program opportunities exist.
Tracks progress through development stages and identifies bottlenecks — so leaders see where time is being lost before it delays the next gate. Cycle time stops being a lagging indicator and becomes a live signal.
Applies patterns from successful prior projects to accelerate current development — so your organization compounds what it's already learned into every new program. Your second product doesn't have to relearn what your first one taught you.
Assesses whether positioning, messaging, and launch materials are strong enough to win — before commercial teams commit to the go-to-market plan. Launch readiness becomes measurable, not just a calendar date.
The agent library is ever-growing. Narratize continuously ships new agents shaped by customer need, emerging use cases, and new categories of innovation work. Every agent we release joins your library automatically.
Every organization has work that needs its own expert. Narratize lets your team design custom agents — purpose-built for your proprietary processes, internal frameworks, or industry-specific judgment calls.
There's a real difference between asking a general-purpose AI assistant for help and running a specialized agent built for product innovation. The difference shows up in every output your team relies on.
30 minutes. Bring a product, program, or portfolio question your team is wrestling with right now. Watch the right agent work against your hub's knowledge — and leave with a concrete picture of how specialized agents change the work.
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