Core

Intelligent Agents

Legacy workflows, rebuilt as agentic workflows

Harness engineering that turns legacy workflows into agentic workflows—tools, context, guardrails, and evals built around the model, integrated with Salesforce, Workday, Databricks.

The Challenge

Your workflows already exist—in SOPs, scripts, RPA bots, and tribal knowledge across 150+ apps. They were designed for humans clicking through screens, so every handoff is a delay, every context switch is an error risk, and every brittle automation is engineering debt.

  • Legacy workflows encoded in SOPs, macros, and brittle RPA
  • Manual coordination across 150+ enterprise apps
  • Context lost between systems and handoffs
  • Engineering time spent on integration maintenance
  • Inconsistent process execution across teams

Our Solution

The model is not the product—the harness around it is. We engineer that harness: the tools an agent can call, the context it reads, the guardrails it operates within, and the evals that prove it works. Then we convert your legacy workflows, step by step, into agentic workflows that run inside your existing stack.

Key Capabilities

What you get with Intelligent Agents

Harness Engineering

Evals on every workflow

Tool definitions, context pipelines, permission boundaries, and eval suites engineered around the model—so agent behavior is designed, measured, and repeatable.

Legacy Workflow Conversion

Step-by-step migration

We map the workflow as it actually runs—SOPs, spreadsheets, RPA, tribal knowledge—and rebuild it as an agentic workflow with human gates only where judgment matters.

Tool Calling & Function Execution

Native integrations

Agents directly invoke APIs, update databases, send communications, and trigger downstream processes.

Memory and Context Management

Persistent memory

Agents remember previous interactions, learn preferences, and maintain context across sessions using MCP.

How It Works

Our implementation process

1

Map the Legacy Workflow

We document how the work actually runs today—systems touched, decisions made, exceptions handled—and define what the agent should accomplish within which boundaries.

2

Engineer the Harness

Using MCP and native connectors, we build the agent’s tools, context pipelines, and guardrails around Salesforce, Workday, Databricks, and your other systems of record.

3

Convert & Deploy

The workflow goes live as an agentic workflow—full logging, human-in-the-loop escalation paths, and eval-backed performance monitoring from day one.

4

Iterate & Expand

Based on real usage data, we tune the harness, raise autonomy thresholds, and convert adjacent workflows.

Integrations

Works with your existing systems of record

SalesforceWorkdayDatabricksSAPNetSuiteServiceNowSlackMicrosoft 365

Results We Deliver

Up to 10 agents
coordinating in parallel

Time saved on cross-system workflows

6-8 weeks
to production

From discovery to live deployment

150+ apps
orchestrated automatically

Through SaaS consolidation and automation

Frequently Asked Questions

Common questions about Intelligent Agents

What is harness engineering?

The harness is everything around the model that makes it dependable: the tools it can call, the context it reads, the permissions and guardrails it operates within, and the evals that measure whether it did the job. Models improve every quarter; the harness is the part you own, and it is where agent quality is actually engineered.

How do you convert a legacy workflow into an agentic workflow?

We start by mapping the workflow as it actually runs—the SOPs, spreadsheets, RPA bots, and tribal knowledge behind it. Then we rebuild it around an agent: deterministic steps stay deterministic, judgment calls get human gates, and everything else becomes tool calls with full audit logging. The workflow migrates step by step, so operations never stop.

How do agents integrate with our existing systems?

We use the Model Context Protocol (MCP) and native API connectors to integrate with your systems of record—Salesforce, Workday, Databricks, SAP, and others. Your data stays in your environment; agents orchestrate on top.

What happens when an agent encounters an edge case?

Agents operate within bounded autonomy. When they encounter situations outside their defined boundaries, they escalate to humans via Slack, email, or your preferred channel. All escalations are logged for continuous improvement.

How do you ensure agent actions are auditable?

Every agent action is logged with complete audit trails—what was done, when, why, and by which agent. This supports SOC 2 compliance and internal governance requirements.

Can agents work with our proprietary systems?

Yes. We build custom connectors for proprietary systems as part of our implementation. If it has an API, we can integrate it.

Ready to convert your first workflow?

Book a 30-minute discovery call to see how harness engineering turns a legacy workflow into an agentic one.

Book a Discovery Call

Or explore the live demo