FOR MARKET RESEARCH · FIELDWORK OPERATIONS
AI Fieldwork Manager is the private-AI cockpit for your fieldwork lead. Reasoned suggestions drawn from your workforce planning, time tracking, contracts, sample status and project quotas - across CATI, CAPI, face-to-face, or focus groups. Two tiers on one MCP backbone: full cockpit for the manager, scoped self-service for the interviewer. Built on TonsleyAI. Extends MR Orga or runs standalone.
In any data-collection operation - CATI studio, CAPI panel, face-to-face team, focus groups - there are really two operational problems, not one.
The fieldwork manager spends the day routing between systems: shifts and routes, billing, contracts, project quotas, sample status, device dispatch, dialler or tablet logs, client status. Decisions wait while data is pulled together by hand.
The interviewers - in the studio, at home, on tour or at a respondent's door - generate the steady stream of small questions that lands on the studio lead's desk: my shift, my next assignment, my hours, my contract, today's briefing, the screener logic, the address list, the incentive payout.
Both problems share one cause. The operational data exists. Nothing talks to the human at the moment they need it.
That is what we built AI Fieldwork Manager for.
WHO IT SERVES
TIER 1
Full operational scope. Example queries the AI handles for the supervisor:
TIER 2 (COMING SOON)
Scoped strictly to the individual. Example queries the AI handles for the interviewer:
THE ARCHITECTURE
01
The chat interface inside TonsleyAI. Browser-based, supports voice and text. No new client to learn.
02
A private, open-weight frontier-class model running entirely in the customer's environment, fine-tuned on the studio's own context. Zero data exposure to third parties.
03
Part of TonsleyAI. Exposes structured tools - read tools for state, write tools gated by human approval. Hundreds of ready-made connectors plus a generic HTTP / SQL adapter for in-house systems.
04
MR Orga, your existing stack, your in-house systems, or other market-research software - connected over MCP so the AI reads and writes against the same sources of truth your operation already runs on.
TWO PATHS, ONE ARCHITECTURE
For market-research institutes already running MR Orga, AI Fieldwork Manager is a direct extension. The solution connects natively to the planning, billing and reporting tables MR Orga already owns. No second source of truth, no parallel admin layer.
For institutes on a different workforce stack, AI Fieldwork Manager runs as a connector layer. The same solution; the underlying workforce, time and payroll data come from your existing tools over MCP. No rip-and-replace.
Either way, no operational system needs to be replaced to adopt AI Fieldwork Manager. It augments what is already there.
BUILT FOR REGULATED WORK
01
The model, the data and the workflows all stay in your environment. No traffic to third-party AI vendors.
02
On-premises by default. EU-resident on request. Audit-ready logging where required.
03
Two tiers, enforced. Fieldwork managers see and act on the full cockpit; interviewers see and act on the scoped self-service surface only. No cross-tier access by default, every elevation logged.
04
Every prompt, every tool call and every approved action is logged with a timestamp and a user identifier.
AI Fieldwork Manager is a domain-specific application of TonsleyAI, run-e's private-AI platform. TonsleyAI handles the natural-language interface, the private model hosting, and the workflow / MCP layer. AI Fieldwork Manager adds the fieldwork-specific fine-tuning, the connector configuration to typical fieldwork operations stacks (CATI, CAPI, face-to-face, focus groups), and the two-tier access pattern above.
Read About TonsleyAI →Thirty-minute discovery call. Bring a representative scenario from your operation - CATI, CAPI or face-to-face; we will sketch how AI Fieldwork Manager would handle it across both tiers.
