Sample & vendor logs
Repetitive posts with owners and timestamps.
Next Gen System builds production chatbots, Voice AI, bot & process automation, agentic systems, OpenAI integrations, and data services—wired to your workflows.
Next Gen System builds production chatbots, Voice AI, bot & process automation, agentic systems, OpenAI integrations, and data services—wired to your workflows.
Ops that can be replayed: sample logs, vendor packs, and SOP extracts.
Built for biotech and pharma ops teams who need audit trails on repetitive work.
Regulated ops still run on inboxes and shared folders. We automate the repetitive steps—logs, vendor packs, SOP tables—and give agents a scoped job: draft the next action, wait on a human for writes that matter.
Specific production work—not a generic “we do AI for this sector” list.
Repetitive posts with owners and timestamps.
Study and invoice scans become tables with an edit audit.
Draft the next step; wait on humans for regulated writes.
QA can see what the job did and who approved it.
Next Gen System treats Biotech & pharma as operating jobs with owners, integrations, and a handoff—not a slide of industry logos.
QA will ask what happened. Jobs carry timestamps, owners, and source files. That is the difference between a helpful script and something you can defend.
Extraction turns study packs and invoices into tables. Agents may pull facts from allowed systems and propose a step. They do not unsupervised-write into GxP systems.
We start with one high-volume ops lane, prove the trail, then expand. Tool theatre does not survive an audit.
Each row is a real job here, tied to a service your team can open.
Process Automation
Repetitive ops—sample logs, vendor packs, audit folders—run with timestamps and owners so QA can replay what happened.
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Agentic AI
Agents pull study or ops facts from allowed systems, draft the next step, and wait for a human on regulated actions—no unsupervised writes.
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Data Extraction
Study packs, vendor invoices, and SOP scans extract into tables with an audit of what the model (or OCR) changed.
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QA will ask what happened. The answer should be a trail—not a heroic inbox search.
Logs, vendor packs, and SOP tables carry timestamps, owners, and source files.
Repetitive posts leave the shared folder. People stay on the checks that matter.
Study and invoice scans become tables. Corrections are visible, not overwritten silently.
They draft the next action. Regulated writes stay human unless you explicitly own a different control.
We scope the win, build with evals, and hand over a system your team can run.
We map high-ROI chatbot, voice, automation, or data use cases—then pick the first win that can reach production.
We design the system, integrate your stack, and prove quality with evals before wider rollout.
We ship with monitoring, feedback loops, and a clear runbook so your team can own the system.
Straight answers for Biotech & pharma work with Next Gen System.
Not unless you explicitly own that write and the controls. Default is draft + approve.
Scope, environments, and evidence are part of the engagement—not an afterthought slide.
Yes. We integrate the queue you already have rather than replacing the stack for sport.
We will pick the first production job, the systems it must touch, and what “done” looks like for your operators.
Share your use case. We respond within one business day.
