Native AI agents for small businesses
Rethinksoft designs AI agents that complete work across sales, outreach, coding, marketing, social media, paid ads, QA, and customer support.
Connected to CRM · inbox · calendar · website
01 / THE THESIS
A useful agent does more than answer a prompt. It understands the job, uses approved systems, completes the next safe action, and brings people in when judgment matters.
02 / THE MODEL
We begin with one bounded job, prove it against real work, and expand only when the agent is safe, useful, and understandable to the people responsible for it.
Select one repetitive, valuable job with a clear owner and a measurable successful outcome.
Set permissions, approvals, spending limits, data boundaries, and escalation rules before access is granted.
Give the agent minimum required access to the CRM, inbox, website, codebase, or campaign tools.
Run real scenarios, edge cases, and failure paths with your team before the workflow goes live.
Review completed work and expand responsibility only after the agent consistently earns trust.
03 / THE AGENT TEAM
Start with the role closest to your bottleneck. Every agent is configured around your systems, standards, approvals, and definition of done.
Required before consequential messages, publishing, spend, refunds, or code changes.
Qualifies inbound leads, updates your CRM, schedules meetings, and keeps opportunities moving without losing the human touch.
Researches prospects and prepares personalized outreach and follow-up sequences for your team to review and approve.
Builds integrations, landing pages, automations, and internal tools within a controlled development and review workflow.
Turns business goals into campaigns, content plans, offers, landing-page briefs, and clear performance reports.
Builds campaigns, tests creative, watches budget pacing, and flags performance changes before money is wasted.
Continuously checks websites, forms, checkout flows, mobile layouts, and releases so customer-facing problems surface early.
Handles routine questions, gathers context, triages requests, and escalates sensitive or complex cases to the right person.
04 / CONNECTED OPERATIONS
Connect only the systems an agent needs. Access, budgets, approvals, logs, and escalation remain visible instead of disappearing inside a black box.
Every production action can be traced to an agent, instruction, tool, and approval.
05 / SELECTED WORK
The architecture follows the business risk: clear permissions, controlled data flow, human review, and integrations that fit the existing operating process.
The marketing team was manually managing segmented campaigns, scheduling, and performance review across a large customer base.
A controlled multi-agent workflow now supports audience research, campaign planning, localized copy, analysis, and human approval before launch.
The sales team needed faster lead response and better follow-up without weakening oversight of sensitive customer information.
A guarded sales workflow supports qualification, scheduling, follow-up, offer preparation, and CRM updates with audit history and human review.
06 / OWNERSHIP
Avoid a permanent dependency on a hidden automation vendor. You receive a maintainable system with clear commercial terms and an intentional path to expand.
Receive the complete repository and the agreed documentation for the agent we build.
Deploy to your cloud account, servers, private environment, or other approved infrastructure.
See build, support, model, integration, and infrastructure costs before implementation begins.
Start with one useful job and add more capability only when the workflow proves its value.
07 / QUESTIONS
What small businesses ask before giving an agent access to real work.
A native AI agent is designed around a real business workflow and connected to the tools needed to complete it. Instead of only answering questions, it can research, prepare work, update systems, monitor results, and ask for approval before consequential actions.
Start with the job that is frequent, time-consuming, measurable, and currently owned by a clear person. Sales follow-up, outreach preparation, content production, website QA, and support triage are strong first workflows because the inputs and desired outcomes are easy to define.
Usually, yes. We design agents around systems such as your CRM, email, website, code repository, support desk, analytics, and advertising platforms. Discovery confirms what each system permits and the safest way to connect it.
Only if you explicitly design the workflow that way. We recommend human approval for outbound messages, public publishing, campaign launches, budget changes, code changes, refunds, and other actions that affect customers, reputation, or money.
It depends on the workflow, data, integrations, and approval requirements. We scope a focused first release around one useful job, test it with real scenarios, and expand only after the core workflow is reliable.
You do. The repository, documentation, and infrastructure configuration agreed in the engagement are handed to the client. Third-party frameworks, models, and services remain subject to their own licences and terms.
Support and maintenance are agreed separately and cover monitoring, updates, issue resolution, and improvements based on production feedback. Because you hold the code and the system runs on your infrastructure, you can also choose to operate it with your own team.
YOUR FIRST AGENT
Bring us the repetitive job slowing your team down. We will define the role, integrations, approval points, and safest useful first release.
Social Media Agent
Creates, repurposes, and schedules channel-ready content while keeping publishing under your team’s control.