Agents as a Service · Go-to-market

AI agents that work your pipeline. Built and run for you.

We design, deploy and manage voice, chat, email, research and CRM agents for revenue teams, grounded in your data and governed by your rules. We also handle the Salesforce, Zoho and GTM-stack work that makes them stick.

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Works with SalesforceHubSpotZohoGongClayOutreachTwilioSlack
agent-run.log example run
  1. 09:41:02 form Demo request · VP Sales, Acme Logistics
  2. 09:41:03 research Enriched: 240 staff · Salesforce · hiring 6 SDRs
  3. 09:41:05 crm Matched account · routed to owner J. Rivera
  4. 09:41:19 voice Calling back… connected in 17s
  5. 09:44:52 voice Qualified · budget ✓ timeline Q1 ✓ · booked Thu 10:00
  6. 09:44:58 email Confirmation + agenda drafted awaiting approval
  1. 14:30:00 calendar Discovery call ended · 42 min
  2. 14:30:40 crm Proposed: next step, 4 MEDDICC fields, 2 new contacts
  3. 14:31:02 rep Approved 6 of 7 updates
  4. 14:31:10 email Recap with owners and next steps sent
  5. 14:31:12 research Economic buyer not engaged · intro path suggested
  1. 08:02:11 signal Target account Globex posted 4 RevOps roles
  2. 08:02:14 research Brief: new CRO since July · evaluating outbound tools
  3. 08:02:20 email Opener drafted, cites the hiring post awaiting approval
  4. 08:05:47 sdr Edited and approved
  5. 08:05:48 crm Activity logged · sequence step 1 of 4
Human-in-the-loop on every send you choose CRM is the system of record

Quick answer

What is Agents as a Service?

Agents as a Service is a delivery model in which a specialist designs, builds, hosts and continuously improves AI agents for your business under one engagement. TheSalesWork delivers it for revenue teams: voice, chat, email, research, CRM and service agents that run on your CRM and data, with human approval where it matters and results reported every month.

Why agent projects stall

Most AI agents never make it from demo to daily work.

The model is rarely the problem. Agents fail when they can’t see the context, aren’t trusted to act, or have no one keeping them sharp. We’re built around fixing all three.

01

No context

Agents can’t see the CRM, the last call or the pricing rules, so they guess.

A context layer first

We connect your CRM, calls, docs and signals before an agent ever acts.

02

No guardrails

One bad email blast or CRM overwrite and the project is shelved.

Human-in-the-loop by design

Approvals, field-level permissions, send caps and audit logs from day one.

03

No owner

The pilot works, then quietly degrades as nobody tunes it.

Managed, measured, improved

We run evals, review outcomes and ship improvements every month.

The agents

One agent per job, all sharing one view of every account.

Start with the workflow that costs you the most time or pipeline. Add more agents as each one proves itself.

Voice Agents

Inbound and outbound calling agents that qualify, book, follow up and hand off warm to your reps.

See how it works

Chat Agents

Website, in-app and messaging agents that answer, qualify and book meetings while buyers are still on the page.

See how it works

Email Agents

Agents that work your inboxes: reply handling, signal-triggered outreach, follow-ups and shared-inbox triage.

See how it works

Research & Prospecting Agents

AI SDR-style agents that research accounts, map buying committees, watch for triggers and brief your reps.

See how it works

CRM & RevOps Agents

Agents that keep your CRM clean and current: hygiene, call-to-CRM updates, deal risk, routing and forecast prep.

See how it works

Service & Success Agents

Support and customer success agents that triage, resolve, spot churn risk and prepare renewals.

See how it works

Context-Driven Agents

The context layer underneath: your CRM, calls, docs and signals, unified so every agent acts on the full picture.

See how it works

Context-driven by design

Agents are only as good as the context they act on.

Every agent we build runs on a permissioned context layer that connects your CRM, calls, email, docs and buying signals, exposed through retrieval and MCP. That’s why our agents sound like your best rep, not a template.

How Agents as a Service works

From first call to an agent in production, in weeks.

  1. Week 0–1

    Discover

    We map one high-value workflow, its data and its success metric, and agree on the guardrails.

  2. Week 1–3

    Build & evaluate

    Context, agent and integrations are built in a sandbox and scored against a test set of real scenarios.

  3. Week 2–4

    Launch

    A controlled rollout with approvals switched on, live dashboards and a clear rollback plan.

  4. Ongoing

    Operate & improve

    We host, monitor and tune the agent, report outcomes monthly and add the next workflow.

Beyond agents

The systems and data that make agents work.

Agents sit on top of your CRM, your tools and your data. We build all of it, so nothing falls between vendors.

Implementations

CRM & GTM stack

Implementations, migrations, cleanups and integrations, designed to be agent-ready.

  • Salesforce
  • Agentforce
  • Revenue Cloud
  • Zoho One
  • Zoho Creator
  • HubSpot
  • Gong
  • Clay
Implementations
Build

Web & mobile apps

Web apps, portals, websites and iOS/Android apps, with AI built in where it helps.

  • Web apps
  • Customer portals
  • Websites
  • iOS
  • Android
  • APIs & MCP
Product engineering
GTM Services

Pipeline & data

Signal-based lead generation, data extraction, CRM cleanup, outbound infrastructure and RevOps.

  • Lead generation
  • Data extraction
  • Enrichment
  • Deliverability
  • RevOps
GTM services

Why TheSalesWork

CRM people who build agents, not the other way round.

We know your CRM

Agents that touch live records need people who understand data models, automation and permissions. That’s where we started.

Humans stay in control

Approval queues, escalation rules and audit trails come standard. Autonomy is earned path by path.

Protect the brand

Deliverability caps, consent checks, disclosures and claim rules keep agents from burning domains or trust.

Model-agnostic

We use the best model for each job and switch as the field moves, without rebuilding your agents.

Measured on pipeline

Every agent has a business metric: speed-to-lead, meetings, hours saved or resolution rate, reported monthly.

No black boxes

Your data stays in your systems. Prompts, workflows and integrations are documented and handed over.

Guides

Straight answers on AI agents for GTM.

6 min read

What is Agents as a Service? A guide for revenue teams

How Agents as a Service works for revenue teams, what it includes, how it’s priced, and how it compares to buying an AI tool or building in-house.

Read the guide 6 min read

AI SDRs vs. human-in-the-loop agents: what actually works in outbound

Why fully autonomous AI SDRs fade, why signal-triggered, human-reviewed agents book more meetings, and how to set them up.

Read the guide 5 min read

Agentforce vs. custom AI agents for Salesforce: how to choose

Agentforce or a custom agent on Salesforce’s APIs? A practical comparison of data, channels, model choice, governance and time to value.

Read the guide

All guides

FAQ

Questions, answered

Something else? Ask us directly.

What does “Agents as a Service” mean?

We design, build, host and keep improving AI agents for your go-to-market team, under one monthly engagement. You get working agents in production, plus the monitoring, evaluation and tuning that keep them performing, without hiring an AI team.

How quickly can our first agent go live?

A focused first agent, such as speed-to-lead calling, reply handling or call-to-CRM updates, typically goes live within two to four weeks of kickoff, once access and data are in place.

Do we need to change our CRM or tools?

No. We build on Salesforce, HubSpot, Zoho and the GTM tools you already use. If something in your setup is blocking results, we’ll tell you and can fix it as part of the work.

Will AI agents replace our reps?

That’s not the goal. Our agents take on research, admin, follow-up and first-touch work so your people spend more time in real conversations. Sensitive actions stay behind human approval.

Which AI models do you use?

We’re model-agnostic. We pick the right model for each task, whether that’s Claude, GPT, Gemini or open models, and can switch as better options appear, without rebuilding your agents.

How do you handle security and data privacy?

Agents use least-privilege access and inherit permissions from your source systems. We can deploy inside your own cloud account, keep data in-region, and sign NDAs and DPAs.

How is pricing structured?

Pilots and builds are fixed-scope. Agents as a Service is a monthly fee covering hosting, monitoring and improvement, plus usage. Implementation and GTM services are fixed-scope or monthly retainers. We scope everything after a short call.

Next step

Pick one workflow. We’ll have an agent running it in weeks.

Book a 30-minute call. We’ll map your highest-leverage use case, show a working agent and tell you honestly what it would take.

Book a demo