Managed AI Operations
Give us the workflow. We redesign it around AI, put the agents into production, and operate them against an agreed business outcome.
Illustrative workflow
Supplier invoice processing. Stage 1 of 4: Agents execute.
Supplier invoice processing
Business owner: Controller (your team) · Operated by HonestAI
1 · Agent execution
2 · Control checks
3 · Expert exception review
Invoice INV-sample-0412
Unit price 6% above PO
Not yet reached
4 · Audit trail
What we report monthly against your baseline
Illustrative workflow with demo data. Not a customer result or live system.
Trusted by teams at
The category
Managed AI Operations means handing HonestAI a defined business workflow and its outcome. We redesign the process, deploy the AI and integrations, supervise exceptions, measure performance, and continuously improve the operation.
You don't buy an agent. You hand us an outcome.
Traditional automation
HonestAI Managed AI Operations
Operating model
Most AI projects end at deployment. Ours start there: once a workflow is live, we run it and improve it against the outcome we agreed.
Identify high-friction work and baseline the economics.
Split the workflow between AI execution, policy controls, and human judgment.
Connect secure production agents to existing enterprise systems.
Run the workflow, handle exceptions, monitor SLAs and govern execution.
Optimize the workflow continuously against agreed business metrics.
What we operate
Each category is a set of workflows we can take over, run and measure.
Invoice processing and three-way match · Bank and account reconciliation · Month-end close preparation
Account and contact research · Lead qualification · CRM hygiene and enrichment
Case triage and routing · Response drafting · Knowledge retrieval
Candidate screening against criteria · Interview coordination · Employee onboarding tasks
Document and contract review against playbooks · Policy checks · KYC/AML file preparation where applicable
Vendor onboarding · PO and contract checks · Supplier communications
Implementation Services
Connect your business systems to compatible AI assistants through governed connectors so customers, employees and partners can take authorized action.
Redesign a multi-step process so agents carry it end to end across your existing tools, with human checkpoints where judgment is needed.
Engineering execution for teams that need hands-on build capacity for a specific AI initiative.
We operate the workflow after go-live — monitoring, exceptions, improvement and monthly reporting against the agreed outcome.
Workflow economics
We baseline the workflow before we touch it, then report the same measures every month.
Accounts payable — invoice processing
Before
With HonestAI · estimate
Illustrative values for a typical mid-size AP function. Not a customer result.
Model My WorkflowHuman accountability
Agent executes
Policy & permission checks
Confidence / exception rules
Human specialist review
Outcome recorded
Audit trail retained
Fed back into improvement
People decide anything that needs judgment, authority or accountability.
Thresholds and maker-checker rules you set — enforced on every item.
Inputs, decision summary, action and approver logged for every task.
Clear routing decides who sees which exception, and how fast.
We own the workflow's service levels and report against them monthly.
Least-privilege access through your identity provider and systems.
Engagement model
Pricing is scoped to the workflow and the outcome. No fixed public price list.
Find the business workflows where AI can create measurable economic value.
Redesign and put one high-value workflow into production.
Hand HonestAI the workflow. We operate it, govern exceptions, and improve performance.
Expand the model across a function or multiple departments.
Outcomes
Every case follows the same structure. Economic and SLA results are published only after the customer verifies them.
Revenue Operations
Compliance Operations
Customer Operations
Case structure: Business problem · Workflow handed to HonestAI · What AI executes · What humans still own · Systems connected · Before · After · Economic result · Operational SLA / quality metric.
What our clients say
We stopped re-keying invoices. The agent does the matching and our controllers only see the exceptions that actually need a decision.
RFP responses used to pull our best people off deals for weeks. Now they review a strong first draft instead of starting from a blank page.
What mattered to us was control. Every step is logged, and nothing risky goes out without one of our analysts approving it.
Sample quotes shown for layout. Final client quotes are pending approval.
Integrations
Technology is infrastructure, not the product.
Model-agnostic by design — OpenAI · Anthropic · Google
Start with one workflow. Prove the economics. Then expand.