Operational workflow automation and outreach coordination portal

For

Sales and operations leads in small and mid-sized companies running routine outreach and internal workflows

Solves

Routine tasks, lead research, outreach sequences and performance reporting are spread across several rented tools and manual steps.

Delivers

Reviewed automation runs, enriched lead lists and scheduled operational reports

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$13,000 for the MVP, $44,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce manual coordination work while keeping outreach and operations aligned with company goals.

1. Build AI agents from plain-language prompts without code.
2. Automate routine tasks and multi-step workflows.
3. Discover and enrich leads with contact and firmographic details.
4. Run multichannel outreach sequences across email, social and calls.
5. Monitor operational data in real time on customizable dashboards.
6. Visualize data with charts and heatmaps.
7. Generate reports automatically and deliver them on schedule.
8. Detect unusual patterns and alert the responsible owner.
9. Connect to CRMs, email providers, telephony tools and data sources.
10. Keep records synchronized across connected systems.
11. Monitor agent performance and suggest corrections.
12. Learn company context and KPIs to align agent actions.
13. Run agents across marketing, operations and customer workflows.
14. Provide onboarding and training sessions for teams.
15. Give real-time guidance and task prioritization.
16. Compare the reviewed result with the recorded baseline and value assumptions.
17. Capture corrections and named-owner approval before consequential use.
18. Export a versioned reviewed automation run with source references and unresolved questions.

Everything these tools do, in one app

• AI-driven automation Uses AI to automate routine tasks and workflows, reducing manual effort.Found in Crono 2.0, Eloo
• Natural-language interface Allows users to interact with the system using plain language prompts.Found in Crono 2.0
• No-code agent builder Enables non-technical users to create AI agents without writing code.Found in Eloo
• Lead discovery and enrichment Finds prospects and fills in contact and firmographic details.Found in Crono 2.0
• Multichannel outreach automation Automates outreach sequences across email, social, and calls.Found in Crono 2.0
• Real-time data monitoring Monitors data in real time and displays it on customizable dashboards.Found in TigerEye
• Data visualization Provides charts and heatmaps to visualize data.Found in TigerEye
• Automated report generation Generates reports automatically and delivers them via scheduled email.Found in TigerEye
• Anomaly detection Uses AI to detect unusual patterns and alert users.Found in TigerEye
• Integration with data sources Connects with popular data sources and third-party applications.Found in TigerEye
• CRM and tool integrations Integrates with CRMs, email providers, and telephony tools to keep data synchronized.Found in Crono 2.0
• Performance monitoring Monitors agent performance and provides mechanisms for self-correction and improvement.Found in Eloo
• Learning company context Learns company context and KPIs to align agent actions with business goals.Found in Eloo
• Cross-functional workflows Runs agents across marketing, operations, and customer workflows.Found in Eloo
• Onboarding and training Offers starter onboarding and one-on-one sessions to help teams get started.Found in Eloo
• Real-time guidance Provides real-time guidance and task prioritization to focus on high-impact activities.Found in Crono 2.0

What goes in, what comes out

The workflow

1. In
   Start with

   Approved company context, CRM records, data sources and workflow rules

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect approved company context

4. 3

   CRM records

5. 4

   Data sources and workflow rules

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed automation runs, enriched lead lists and scheduled operational reports

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved CRM and one connected data source; final outreach content and operational decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Workflow and agent builder, Live operations dashboard, Outreach and lead workspace. Use a project list for workflows, a central canvas for building and reviewing agents, and a right-hand panel for data sources, KPIs and comments. Let users compare automation runs side by side. Display draft, running, needs review and approved states. Provide a client preview link with comments anchored to the relevant workflow step. Make the task-specific outcome reviewed automation runs, enriched lead lists and scheduled operational reports visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, workflow versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Company-owned CRM records, approved data sources and permitted communication channels. Cloud data storage, email providers, telephony tools and reporting destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   6 days

   One buyer segment, one recurring use case; first modules: build AI agents from plain-language prompts without code; automate routine tasks and multi-step workflows. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will sales and operations leads in small and mid-sized companies running routine outreach and internal workflows use it to solve "routine tasks, lead research, outreach sequences and performance reporting are spread across several rented tools and manual steps"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Hours of manual work removed per week and accepted automation runs per operator.
4. Measure, then decide. Track hours of manual work removed per week and accepted automation runs per operator; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One approved CRM and one connected data source; final outreach content and operational decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: build AI agents from plain-language prompts without code; automate routine tasks and multi-step workflows. Support the third module with operator review: discover and enrich leads with contact and firmographic details. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed automation runs, enriched lead lists and scheduled operational reports. Retain the explicit scope boundary: One approved CRM and one connected data source; final outreach content and operational decisions remain human.

What the build depends on. Data upload and preview, asynchronous automation jobs, editable version history, reviewer access and tested export formats. High-fidelity operations require specialist process QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved CRM and one connected data source; final outreach content and operational decisions remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined workflow package. Offer a monthly production allowance after repeat demand. Quote complex multi-team or specialist integrations separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed automation run, enriched lead list and scheduled operational report. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce manual coordination work while keeping outreach and operations aligned with company goals. Demonstrate a concrete reviewed automation run, enriched lead list and scheduled operational report using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Sales and operations leads in small and mid-sized companies professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample automation run, enriched lead list and scheduled operational report from a small authorized input set, with a transparent calculation of hours of manual work removed per week and accepted automation runs per operator and no promised savings.

The first 30 days

1. Week 1: interview five sales and operations leads in small and mid-sized companies running routine outreach and internal workflows and inspect a recent example of routine tasks, lead research, outreach sequences and performance reporting spread across several rented tools and manual steps.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure hours of manual work removed per week and accepted automation runs per operator, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Hours of manual work removed per week and accepted automation runs per operator. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Hours of manual work removed per week and accepted automation runs per operator; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed automation runs, enriched lead lists and scheduled operational reports. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved workflows, company context and review examples, together with reliable delivery for a narrow operational niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for sales and operations leads in small and mid-sized companies running routine outreach and internal workflows. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Crono 2.0, TigerEye and Eloo, plus manual spreadsheets and separate point tools. Compare this product with the buyer's present method on hours of manual work removed per week and accepted automation runs per operator. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, data storage, reviewer hours, client revision rounds and licensed source data. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed automation runs, enriched lead lists and scheduled operational reports. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve company context, source attribution, contact accuracy and usage permissions. Named owners approve substantive changes and external outreach scope. One approved CRM and one connected data source; final outreach content and operational decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.