Ship production AI assistants and enterprise automations that reduce manual work and improve data quality, not just prototypes.
Managers save 7 to 9 hours per week and deal risk drops by ~40% with Scout.

50%

Support questions answered by AI in month one

90%

Fewer API calls and tasks after re architecture

100%

Data integrity for invoices and customers
Results from recent client work highlighted in our Customer Stories.

Signature AI Solutions

Scout, Pipeline Command Genie

Detect risk, gaps, and sentiment in deals. Lives in Slack and Salesforce. Managers coach with facts and save time.
Launching soon

Sales Genie

Detect risk, gaps, and sentiment in deals. Lives in Slack and Salesforce. Managers coach with facts and save time.
Launching soon

Triage

Detect risk, gaps, and sentiment in deals. Lives in Slack and Salesforce. Managers coach with facts and save time.

Contract Review Assistant

Summarizes terms, flags risk, and posts structured findings to Google Docs or Slack.

Security Questionnaire Assistant

Drafts compliant answers with citations to your evidence sources. Human-in-the-loop by default.

SalesVista, Account Intelligence

Unified snapshot across Salesforce, Zendesk, and Gainsight for prep and QBRs.

Trusted by Leading Companies

Playbooks and Accelerators

AI Use-Case Triage
Ready to Deploy, Needs Better Data, Nice-to-Have Demo.
Recipe Review Checklist
Security, error handling, performance, and modularity.
Workato Deployment Plan
Dev, test, prod, rollback, and observability.
Innovation Channel Kit
How to run an AI Slack channel that ships wins.
Agent Skill Library
Slack actions, Salesforce updates, approvals, and data fetchers.
Batch & SDK Patterns
Composite calls, retry logic, idempotency, and rate limits.

Customer Stories

Automation Transformation
Supercharging Financial Operations with a Re-Architected Integration
Practitioner's Insight
"A financial integration isn't just a data pipe; it's the central nervous system of your revenue operations. If it's not built for scale from day one, it will become a bottleneck that throttles your growth."

The Situation: Scaling Pains for a Market Leader

A leader in product experience software was in a period of strategic growth. This involved migrating their financial system and consolidating their integration tools. However, a critical custom-built integration between their financial systems, created by a former employee, was becoming a significant operational risk.

Key Results

100%

Improved Data Integrity

90%

Reduction in API Calls & Tasks

Future-Proof

Foundation for Scale

The Hidden Automation Ceiling: A Ticking Time Bomb

The existing integration was a ticking time bomb. It was fragile, completely undocumented, and inefficient. Monolithic, poorly designed workflows were causing data inconsistencies, most notably creating duplicate customer records because of a faulty bi-directional sync. This fragile system lacked the reliability and visibility needed to scale financial operations, putting a ceiling on their growth potential.

The original integration was a fragile, opaque process that created data integrity issues and lacked scalability.

The Turning Point: Re-Architecting for a Single Source of Truth

OneSolve's key insight was that a simple fix was not enough. The entire process needed to be re-architected from the ground up, following enterprise best practices. We established their financial system as the single source of truth for all customer and invoice data, redesigning the data flow to be a clean, unidirectional sync. The most critical innovation was the development of a powerful, custom SDK for the integration platform. This SDK combined multiple API calls into one and processed records in batches, a move that would dramatically improve efficiency and reduce cost.

The Breakthrough: Stability, Speed, and Savings

The new integration went live and delivered immediate, transformative results. The re-architected, modular workflows provided the stability and reliability the finance team needed. By establishing a master record system, data integrity issues were eliminated. Most impressively, the custom SDK's batch processing was a game-changer, drastically reducing the number of automation tasks and API calls, leading to significant cost savings and faster processing times.

OneSolve re-architected the flow with a custom SDK, creating a stable, efficient, and scalable solution.

The New Reality: A Scalable Foundation for Growth

OneSolve didn't just fix a broken integration; we delivered a scalable, maintainable, and cost-effective foundation for their future financial operations. The project's success and our deep expertise also had a strategic impact, helping leadership envision a broader role for their enterprise integration platform. By turning a liability into an asset, we empowered them to continue their growth trajectory with confidence.

AI Transformation
From Knowledge Chaos to AI-Powered Clarity: Taming Internal Support
"This Genie is amaaaazing!"

The Situation: Growth Fueled by Expertise

A leader in cloud reporting operates in a high-stakes environment where accuracy and speed are paramount. Their internal teams rely on a deep well of institutional knowledge to support customers and each other. But as the company scaled, this reliance on subject matter experts (SMEs) became a bottleneck. Support teams were overwhelmed with repetitive questions across dozens of Slack channels, and finding the right answer was an inefficient, manual process.

The Hidden Automation Ceiling: When Knowledge Doesn't Scale

The problem wasn't a lack of information—it was a lack of intelligent access. Knowledge was trapped in silos across Slack, Zendesk, and Confluence. This created a hidden "automation ceiling" where the sheer volume of unanswered and repeated questions was leading to SME burnout, slower response times, and inconsistent answers. The data from 2024 was stark: a significant percentage of questions in their support channels were going completely unanswered, representing a major risk to internal efficiency and employee morale.

In 2024, a significant number of internal support questions went unanswered, highlighting a critical knowledge gap.

The Turning Point: An AI-Powered Central Nervous System

OneSolve recognized that a simple search tool wouldn't solve the problem. The client needed an intelligent, central nervous system that could understand user intent and deliver precise answers from across their entire knowledge ecosystem. The key insight was to build an AI-driven assistant on the Workato platform. This wasn't just about connecting data sources; it was about creating a continuously learning engine that could ingest, index, and synthesize information from 33 Slack channels, Zendesk, and Confluence in real-time.

The Breakthrough: Immediate Impact and Raving Fans

The AI Genie went live in mid-January 2025, and the impact was immediate and dramatic. Within its first full month, the Genie was handling thousands of queries and achieved a query deflection rate of over 50%. This meant that more than half of the questions that would have previously required an SME's time were now being answered instantly by the AI. The qualitative feedback was just as powerful. Employees weren't just using the tool; they loved it. Spontaneous praise flooded Slack channels, with users calling the Genie "amaaaazing!" and a "Huge win." This enthusiastic adoption was the ultimate proof of success.

Spontaneous, positive feedback from employees highlighted the immediate value of the AI Genie.

The New Reality: From Reactive Support to Proactive Intelligence

With the AI Genie, OneSolve transformed the company's internal support from a reactive, manual process into a proactive, intelligent system. The success has laid the foundation for the next phase of their AI strategy, including expanding the Genie's capabilities and even exploring customer-facing applications. By identifying and breaking through the "hidden automation ceiling," OneSolve didn't just deliver a project; we delivered a new capability that allows them to scale its expertise as fast as it scales its business.

How We Work

Jumpstart

Discovery, triage, and one priority workflow to production with observability.
2 to 4 weeks
KPI defined on day one
Production deployment
Knowledge transfer included

Scale-up

Expand to 3 to 5 workflows with data quality rules and cost controls.
4 to 8 weeks
Playbooks + runbooks
Team enablement
Governance framework

Managed

SLOs, weekly improvements, and a shared Slack channel.
Continuous optimization
Roadmap and adoption
24/7 monitoring
Monthly business reviews

FAQ

How fast can we see value?

Most teams ship a first production workflow in 2 to 4 weeks. We define the KPI up front and measure from day one. A recent client saw 50% deflection in the first month.

How do you handle security and compliance?

We use least privilege, SSO/SAML, audit logging, and clear data boundaries. We can run pilots with sandbox. All data stays within your existing security perimeter.

Which models and tools do you use?

We are platform-agnostic. We center on Workato for orchestration with Slack, Salesforce, Zendesk, NetSuite, and Snowflake. Model selection depends on security, cost, and task fit. We work with Gemini, OpenAI, Anthropic Claude, and private models.

Do you provide training and change management?

Yes. Every engagement includes documentation, runbooks, and hands-on training. We also help establish Centers of Excellence and citizen developer programs for long-term success.

Contact OneSolve

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