Actifai

Maximize subscriber revenue and retention for ISPs and telecom providers with AI agents that provide real-time guidance and automated sales and support workflows.

Paid only

Price not published

About Actifai

Actifai is an AI-driven platform specifically engineered for the broadband and telecommunications industry. Its primary purpose is to enhance the subscriber lifecycle by optimizing sales, support, and retention processes. Instead of generic CRM tools, Actifai uses models trained on broadband-specific data—such as serviceability, local competition, and promotional rules—to help internet service providers (ISPs) deliver more personalized and effective customer interactions. The platform operates through a suite of specialized AI agents: Engage, Digital, Support, Retention, and Upsell. These agents work by gathering thousands of customer data points and applying insights from millions of past interactions in real-time. In practice, this means a sales representative receives live recommendations for the best-fit service plan based on a caller's specific needs, or a support agent is guided through the most efficient troubleshooting steps. An optional "Auto" enhancement allows these agents to execute provider-approved tasks autonomously, such as handling qualified sales calls end-to-end or fixing common technical issues without human intervention. This tool is best suited for cable operators, fiber providers, and rural or local ISPs looking to differentiate themselves in a market often dominated by price wars. It is designed for customer service representatives (CSRs), sales teams, and marketing departments who need to reduce sales guesswork and shorten employee ramp times. By providing plain-language reasons for product recommendations, it helps frontline staff build confidence and transparency with potential subscribers. What distinguishes Actifai from general-purpose AI platforms is its deep vertical integration and focus on industry-specific outcomes. While many AI tools offer broad natural language processing, Actifai is refined by millions of real telecom interactions and connects directly across a provider’s existing tech stack. This industry-specific training allows it to deliver verifiable results, such as a reported 5-20% boost in Average Revenue Per User (ARPU) and a significant lift in subscriber retention, making it a specialized solution for the unique challenges of the broadband sector.

Actifai pros & cons

Pros

Trained on millions of industry-specific broadband and telecom interactions.
Delivers verifiable ROI with an average 5-20% boost in subscriber ARPU.
Reduces employee training time by providing real-time guided workflows.
Supports autonomous execution of provider-approved tasks to scale operations.
Seamlessly integrates with existing ISP tech stacks and promotion rules.

Cons

Pricing is not publicly disclosed and requires a custom demo request.
Targeted exclusively at the broadband and telecom sectors, limiting its use in other industries.
Full autonomous features require a phased implementation under provider controls.

Actifai use cases

Sales representatives can use real-time prompts to recommend suitable internet plans, increasing conversion rates by up to 30%.
Customer support teams can leverage guided troubleshooting to resolve issues faster and improve overall subscriber satisfaction scores.
Marketing managers can identify early churn risks and trigger automated retention outreach to keep customers.
Operational leaders can implement the Auto enhancement to handle routine support tasks autonomously, reducing the load on human agents.

Actifai features

autonomous task execution
multi-system tech stack connectivity
personalized plan recommendations
live serviceability integration
subscriber churn prediction
automated support workflows
real-time sales guidance
broadband-specific ai agents

Actifai pricing

Is Actifai free? No, Actifai doesn't offer a free plan.

Enterprise

Price varies

Broadband-specific AI agents
Real-time sales guidance
Automated support workflows
Subscriber churn prediction
Live serviceability integration
Personalized plan recommendations
Autonomous task execution
Tech stack connectivity

Actifai FAQs

What types of providers does Actifai support?

Actifai is designed for various telecommunications entities including cable operators, fiber providers, and rural or local ISPs. It scales to support both large national providers and smaller community-focused networks.

How quickly can the platform be launched?

According to the provider, Actifai is designed for rapid deployment and can typically be launched within a few weeks. This is achieved through pre-built integrations and industry-specific training data.

Does the AI replace human customer service agents?

The platform is designed to augment human teams with real-time guidance, though its Auto enhancement can handle some routine tasks autonomously. Providers maintain control over which actions are automated.

What kind of data does the AI use to make recommendations?

The AI analyzes thousands of customer data points, including serviceability, local competitive landscape, and millions of historical subscriber interactions. This ensures recommendations are contextually relevant.

Can it integrate with my existing CRM or billing system?

Yes, Actifai is built to connect across your existing tech stack, pulling in live context and promotion rules to ensure seamless data flow. This reduces manual data entry and ensures accuracy.

Open roles

All AI jobs

Actifai

Senior Full-Stack Software Engineer

engineering hybrid Washington, US full-time

Benefits:

equity
employer-covered health/vision/dental insurance
optional FSA
401k matching
generous PTO allowance

Education Requirements:

very strong CS, math, physics or similar degree from a leading program
PhD applicants are actively considered

Experience Requirements:

4+ years experience building applications
proven ability in writing clean, scalable code
significant experience in one or more programming languages
solid knowledge of programming fundamentals
proven capability in creating a successful software product

Other Requirements:

Excited to move fast and know how to prioritize
Comfortable working outside of a traditional narrow engineering role
Effective communication between technical and business staff
Broad skillset blurring lines between engineering and data science
Exceptional computational or business background

Responsibilities:

envisioning, designing, coding, testing and improving products
continual collaboration with data scientists and stakeholders
building new back-end and front-end features
instilling best practices like automated testing and code organization
evaluating potential new technologies

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Actifai

Senior Data Scientist

science hybrid Washington, US full-time

Benefits:

Company equity grants
Employer-covered health, vision, and dental insurance
401k matching
20 days of PTO allowance per year
10 annual holidays

Education Requirements:

Degree in a STEM discipline preferred (or equivalent practical experience)

Experience Requirements:

4+ years of experience in applied data science or machine learning
Strong Python and SQL skills
Experience developing and evaluating supervised ML models
Practical experience with experimentation and statistical reasoning
Familiarity with reinforcement learning or decisioning frameworks

Other Requirements:

Demonstrated ability to independently frame problems
Strong communication skills across technical and business audiences
Experience in telecom, subscription, pricing, or churn analytics
Exposure to contextual bandits or policy optimization
Familiarity with AI agents

Responsibilities:

Translate business asks into modeling tasks and evaluation frameworks
Develop predictive models and decision logic
Design and analyze A/B tests or staged rollouts
Specify model inputs, outputs, and logging for monitoring
Communicate findings and tradeoffs to stakeholders

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About Actifai

Actifai pros & cons

Pros

Cons

Actifai use cases

Actifai features

Actifai pricing

Enterprise

Actifai FAQs

Open roles

Senior Full-Stack Software Engineer

Senior Data Scientist

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