Internal AI
An AI employee for your operations. Trained on your codebase, processes, tools, and standards. It builds, ships, writes, reports, and runs recurring workflows. Message it through Slack, Teams, or Discord like any team member.
Web Design & Engineering
Builds and maintains your website, writes production-ready code, manages GitHub repos, and handles technical projects. No developer or agency needed.
Content & Creative
Publishes blog posts on autopilot, produces marketing videos, manages social media pipelines, writes copy, and creates branded documents.
Reports & Analysis
Generates financial analyses, job estimates, performance reports, and client deliverables. Runs on schedule or on demand with full business context.
Autonomous Operations
Runs recurring workflows without prompting: content publishing, site maintenance, data processing, client deliverables, and more. Define the process once and it executes on schedule.
Trained on your specific business, processes, and goals. Not a chatbot, but a capable team member that knows your operation inside and out. See it in action: NextraData case study.
Customer-Facing AI
A managed front-line agent on your website. It answers questions, qualifies leads, schedules conversations, and hands off cleanly when humans need to step in. Trained on your services, pricing, policies, and voice so every answer is accurate and on-brand.
Receptionist Mode
Greets visitors, answers questions about services, pricing, hours, and availability. Reduces repetitive inquiries so your team focuses on what matters.
Booking Mode
Guides conversations toward scheduling, integrates with your booking system, validates leads, and tracks conversions with clear attribution.
Smart Escalation
Knows when to hand off to your team. Never leaves visitors stuck or gives wrong answers. Graceful transitions preserve the customer experience.
After-Hours Coverage
Handles conversations at 9pm, 6am, weekends, and holidays without adding headcount. Every hour your site is open for business.
Every link click, conversation, and conversion is tracked. You see the revenue it drives and the time it saves. See it in action: Making Waves Swim School case study.
Better Together
Your Internal AI watches what customers ask, turns those signals into operational work (site updates, content, FAQ improvements, internal fixes), and improves your Customer-Facing AI in the loop. Both agents share data so nothing falls through the cracks.
From First Call to Ongoing Improvement
Now that you know what each agent does, here is how we get them running for your business.
1. Discovery and AI scoping
Define which Internal AI workflows launch first, the operational bottlenecks we're removing, and what success looks like in 30 days.
2. Build, guardrails, and integration setup
Configure prompts, tools, branding, and AI boundaries before anything goes live.
3. Launch with tracking from day one
Review conversation content, click behavior, and time-saved metrics to validate impact quickly.
4. Monthly reporting and ongoing refinement
Review monthly performance reports, adjust strategy as needed, and expand capabilities as your business grows.
Trust & Operational Safety
You can see what the AI is doing, what results it's driving, and what gets improved each month.
Data Retention
Conversation data is retained for up to 60 days for review, then automatically removed.
Data Export Access
Need an export? TaskAdmin provides conversation and click data on request.
Human QA Review
Real conversations are reviewed for accuracy and edge cases before updates are applied.
Guardrails & Oversight
Directly managed setup, ongoing tuning, and clear operating boundaries.
Model Flexibility & Data Privacy
We pick the best model for each task and can deploy both third-party and open-source LLMs. For businesses with strict data privacy requirements, open-source models run on dedicated infrastructure so your data never touches a third-party provider.
Third-Party LLMs
Access the most capable models from OpenAI, Anthropic, and others for maximum performance.
Open Source LLMs
Deploy open-source models on dedicated cloud infrastructure or your own hardware. Your data never touches a third-party provider.
Supported Providers
See full policies in Privacy Policy and Terms of Service.
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