Solutions

AI agent solutions for operations teams

Sentient Software builds autonomous AI agents in four areas: campaign and media operations, lead qualification, bookings and scheduling, and reporting. Below is what we build, followed by a practical FAQ on how agents behave in production and what a deployment involves.

Who this is for

Heads of marketing, operations, product, and service teams who need concrete answers before bringing AI into core workflows.

No hype, no vague “transformation” language — just how the systems work and where they make sense.

What we build

Each solution is a deployed agent connected to your tools, constrained by your rules, and observable end to end.

Campaign & media operations automation

AI-driven systems that plan, execute, and monitor campaign and media operations across ad platforms and analytics tools, keeping data structured and workflows observable end-to-end.

Lead funnel & qualification automation

Agents that enrich, classify, and qualify inbound leads, update CRM records, and trigger follow-ups or bookings without manual data wrangling.

Bookings & scheduling workflow automation

Booking and scheduling systems that handle structured request → approval → scheduling flows, integrated with your calendars and internal tools.

Reporting & insights agents

Agents that collect data across tools, analyse trends, and deliver scheduled reports and insights, so teams make better decisions with less manual reporting work.

Frequently asked questions

How agents behave in production, what a deployment involves, and what it costs.

A software system that can analyse inputs, make decisions based on logic and constraints, and execute tasks across your tools — without human supervision.

Chatbots answer questions.

Agents do the work.

They integrate with your stack, follow structured workflows, trigger actions, and update systems. Instead of replying with suggestions, they actually move data, create records, send messages, and complete tasks under defined guardrails.

Anything with clear steps, rules, and data, including:

  • Campaign planning & execution
  • Lead qualification
  • Reporting & insight generation
  • Scheduling & bookings
  • Data collection and reconciliation
  • Operational onboarding

If it follows a process, it can be automated.

We use deterministic logic, validation layers, approval gates, and monitoring.

Agents don’t “guess” — they follow explicit rules and safe defaults. Where judgement calls are required, we insert human approvals or conservative fallbacks so the system fails safe, not loud.

Typical deployments run 2–6 weeks depending on complexity, tool integrations, and whether the workflow already exists in structured form.

The goal is to remove repetitive, low-output work so teams can focus on strategy, oversight, and creative problem-solving.

Automation supports teams — it doesn’t erase them. In practice, agents tend to make good people more effective and reduce the pressure to hire for purely operational load.

CRMs, ad platforms, data warehouses, analytics tools, scheduling systems, email platforms, internal APIs — anything with an API or structured interface.

Part of the engagement is mapping your stack and choosing the safest, most direct integration points.

Yes. Most agents improve over time as data grows, workflows refine, and operations scale. We design systems so they can be tuned and extended without starting from scratch every time a process changes.

Work is billed hourly at $70–$120 depending on the resource involved (developer, business analyst, or architect), with a minimum monthly retainer of 40 hours. Exact scope and resourcing are confirmed during the strategy call.

Still unsure if your workflow is a good fit? Share a rough description and we’ll tell you — directly — whether an agent makes sense.

Talk through a workflow

30–45 minute call. We map the steps, identify where automation fits, and suggest a realistic starting point.