Outcome Agents Ready to Deploy

Built and managed by AI experts, every agent is designed to achieve targeted business outcomes.

Outcome Agents
20+
AI Experts
2,000+
Typical Time to Deploy
5–8 days
Agent Skills
100+

  • SDR-in-a-Box

    Agent Owner:

    Ismail Shakra

    Ismail is an enterprise sales leader who led Oracle's EMEA GTM strategy and sales. He specializes in sales performance and AI-driven GTM automation.

    Targeted Outcomes

    • 15+ minutes saved

      Manual research per account

    • 100% checked

      Every message checked against your brand and legal guidelines

  • Paid Social Creative Factory

    Agent Owner:

    Diego Lira

    Diego is an AI product leader who co-founded Clind.ai, a platform for building and deploying AI agents that serves more than 200,000 people a month. He previously led technology and AI products at Gocase and specializes in RAG and autonomous agents.

    Targeted Outcomes

    • 4+ concepts

      Copy and concepts generated per platform

    • 1 test matrix

      A hypothesis and success metric for every variant

  • Account Discovery

    Agent Owner:

    Asset Mendesh

    Asset is a performance marketer who has worked with Novo Nordisk and BASF and led campaigns for Fortune 500 companies and SaaS startups. He specializes in B2B lead generation and Google Ads, and has managed budgets of over $600,000.

    Targeted Outcomes

    • 30+ accounts

      Sourced per brief

    • 6–12 minutes

      To deliver a sourced, fit-checked account list

  • AI Visibility-in-a-Box

    Agent Owner:

    Esteve Castells

    Esteve is an SEO and GEO consultant who helps SaaS and tech companies win visibility in AI answer engines and Google. He co-founded LLM Pulse, an AI search visibility platform, and has 10+ years leading SEO at scale, including as Head of SEO at Adevinta.

    Targeted Outcomes

    • 4 agents

      SEO, GEO, and AIEO content engines plus the Landing Page Optimizer

    • 6 AI engines

      ChatGPT, Claude, Gemini, Grok, Perplexity, and Google AI Overviews

    • 15+ questions per run

      Checked against 6 AI assistants each run

  • Buying Committee Mapper

    Agent Owner:

    Guillaume Devaux

    Guillaume is a B2B sales expert with nine years of experience driving enterprise adoption for category-defining platforms at tier-1 tech companies. At Zoom, he was a top-performing account executive who exceeded quota every quarter from 2021 to 2025, and at Uber and Lightspeed he built pipelines and closed complex deals.

    Targeted Outcomes

    • 4 roles

      Key roles identified per account with rationale for each assignment

    • 1 source per role

      Every role is backed by a dated public source

  • ABM Account Activation Engine

    Agent Owner:

    Geraldson Santos

    Geraldson is a B2B demand generation leader with 12 years driving pipeline growth, paid media, and ABM for enterprise technology companies across Asia-Pacific, including Oracle. He also partners with growth-stage businesses on brand, pricing, and commercial strategy.

    Targeted Outcomes

    • 4 deliverables

      Buying committee map, tiered account list, persona and journey reference, and two sales plays

    • Competitor-checked

      Each sales play is compared against live competitor ads

    • Tiered by priority

      Every target account ranked before plays are built

  • Objection Intelligence Engine

    Agent Owner:

    Michael J. Mealey

    Michael is a commercial leader with 20+ years of experience driving revenue growth, enterprise sales, and go-to-market transformation across cloud and AI, including at Accenture. He builds high-performing sales teams and closes complex, high-value deals with Fortune 100 clients.

    Targeted Outcomes

    • < 15 minutes

      From objection to account-specific talking point

    • 100% sourced

      Every objection comes with a verbatim quote and its source

  • Campaign Brief Generator

    Agent Owner:

    Brion Roberto

    Brion built his brand marketing career at BCG Gamma and Diageo, leading global digital marketing and innovation for brands including Smirnoff and Johnnie Walker, before becoming Global Head of Digital Products and Multi-channel Marketing Strategy at Sanofi.

    Targeted Outcomes

    • 1 day

      Turnaround from inputs to a launch-ready brief deck

    • 100% claim-checked

      Every claim comes from your approved list or is flagged for review

  • Personalized Outreach Factory

    Agent Owner:

    Asset Mendesh

    Asset is a performance marketer who has worked with Novo Nordisk and BASF and led campaigns for Fortune 500 companies and SaaS startups. He specializes in B2B lead generation and Google Ads, and has managed budgets of over $600,000.

    Targeted Outcomes

    • < 15 minutes

      To draft a campaign for each persona

    • 3 channels

      Email, LinkedIn, and calls in one sequence per persona

  • Competitive Messaging Monitor

    Agent Owner:

    Asset Mendesh

    Asset is a performance marketer who has worked with Novo Nordisk and BASF and led campaigns for Fortune 500 companies and SaaS startups. He specializes in B2B lead generation and Google Ads, and has managed budgets of over $600,000.

    Targeted Outcomes

    • Every 24 hours

      A scheduled scan flags any changes

    • Within 10 minutes

      Of each scan, a brief lands in your team chat

    • 100% briefed

      Every detected change in competitor ads lands in the next brief

  • Account Research Engine

    Agent Owner:

    Asset Mendesh

    Asset is a performance marketer who has worked with Novo Nordisk and BASF and led campaigns for Fortune 500 companies and SaaS startups. He specializes in B2B lead generation and Google Ads, and has managed budgets of over $600,000.

    Targeted Outcomes

    • < 2 minutes

      To build a buyer profile from your brief

    • 1 brief per account

      News, hiring, funding, tech stack, and priorities, each dated

  • AIEO Content Opportunity Engine

    Agent Owner:

    Alan Muther

    Alan is a digital strategist with nearly 20 years of experience integrating SEO, paid media, and GEO for startups, SMBs, and global leaders like Walmart and LinkedIn. He connects technical frameworks with LLMs to drive AEO and AI retrieval.

    Targeted Outcomes

    • 15+ questions

      Run against every engine to check whether your brand appears

    • 6 AI engines

      ChatGPT, Claude, Gemini, Grok, Perplexity, and Google AI Overviews

    • 3 formats

      HTML, Markdown, and PDF report, with a citation ledger

  • Competitive Battlecard Engine

    Agent Owner:

    Asset Mendesh

    Asset is a performance marketer who has worked with Novo Nordisk and BASF and led campaigns for Fortune 500 companies and SaaS startups. He specializes in B2B lead generation and Google Ads, and has managed budgets of over $600,000.

    Targeted Outcomes

    • < 15 minutes

      To generate deal-specific battlecards

    • 1 positioning map

      Where you win and lose against each competitor, at a glance

    • 100% sourced

      Every competitive claim links to its source

  • Quick Competitor Scan

    Agent Owner:

    Asset Mendesh

    Asset is a performance marketer who has worked with Novo Nordisk and BASF and led campaigns for Fortune 500 companies and SaaS startups. He specializes in B2B lead generation and Google Ads, and has managed budgets of over $600,000.

    Targeted Outcomes

    • < 500 words

      Summary instead of a research report

    • < 10 minutes

      A competitive read at any time

    • 100% sourced

      Every claim cites the ad it came from and its capture date

  • Lead Scoring & Routing Agent

    Agent Owner:

    Asset Mendesh

    Asset is a performance marketer who has worked with Novo Nordisk and BASF and led campaigns for Fortune 500 companies and SaaS startups. He specializes in B2B lead generation and Google Ads, and has managed budgets of over $600,000.

    Targeted Outcomes

    • < 2 minutes

      New lead scored, enriched, and routed

  • GEO Content Opportunity Engine

    Agent Owner:

    Laura J Bal

    Laura is a digital marketing and growth strategist with 20+ years of experience across B2B technology, SaaS, and global enterprises. She connects positioning, go-to-market strategy, MarTech, and analytics with hands-on execution.

    Targeted Outcomes

    • 3 deliverables

      Before-and-after copy, open facts, and next steps

    • 100% sourced

      Every AI-answer finding dated and sourced

  • Landing Page Optimizer

    Agent Owner:

    Diego Lira

    Diego is an AI product leader who co-founded Clind.ai, a platform for building and deploying AI agents that serves more than 200,000 people a month. He previously led technology and AI products at Gocase and specializes in RAG and autonomous agents.

    Targeted Outcomes

    • 100% audited

      Every page you submit is audited across SEO, GEO, brand, and conversion

    • 2 variants

      Ready to test, per page

  • Paid Media Benchmark Finder

    Agent Owner:

    Diego Lira

    Diego is an AI product leader who co-founded Clind.ai, a platform for building and deploying AI agents that serves more than 200,000 people a month. He previously led technology and AI products at Gocase and specializes in RAG and autonomous agents.

    Targeted Outcomes

    • 5 metrics

      CPL, CPC, CTR, CVR, and CPM returned together instead of pulled one at a time

    • Always current

      Ranges refresh when new benchmark data is published

  • SEO Content Opportunity Engine

    Agent Owner:

    Diego Lira

    Diego is an AI product leader who co-founded Clind.ai, a platform for building and deploying AI agents that serves more than 200,000 people a month. He previously led technology and AI products at Gocase and specializes in RAG and autonomous agents.

    Targeted Outcomes

    • 4 formats

      HTML report plus Markdown, CSV, and PDF

    • 4 decisions

      Each page is marked create, fix, refresh, or consolidate

  • Campaign Intelligence

    Agent Owner:

    Tamsen Galloway

    Tamsen is a strategic growth leader with 20+ years of experience in enterprise marketing, including brand programs at T-Mobile. She specializes in enterprise ABM, GTM strategy, partner ecosystems, and C-suite alignment.

    Targeted Outcomes

    • 2 human sign-off gates

      Research and creative brief each pass a person before they are final

    • 2 decks per run

      A research report deck and a creative brief deck, plus an audit-trail appendix

    • 100% sourced

      Each captured item carries a source URL and a capture date

The Model

How We Build Every Outcome Agent

Our agents are designed for real business outcomes and validated by AI experts.

  1. Phase 1

    Define the Outcome

    We define the business outcomes first, then the agent.

  2. Phase 2

    Assemble the Recipe

    We select and orchestrate the right agents, models, and tools.

  3. Phase 3

    Deploy the Agent

    Each agent has a named owner and team who implement and manage it.

  4. Phase 4

    Verify Continuously

    Toptal AI experts verify results against the KPIs agreed with you.

FAQ

  • What makes Toptal AI different?

    We help organizations move AI from ambition to validated business outcomes. We combine specialized AI talent, delivery teams, proprietary capabilities, and leading technology partners to build around your data, workflows, systems, and business goals, then continuously evaluate, operate, and improve what gets deployed.

  • What AI services does Toptal provide?

    Toptal AI helps organizations understand how work gets done, capture the activity and knowledge behind it, and turn that context into production AI systems. We combine workflow and process mapping, data and knowledge preparation, agent and model orchestration, evaluation, governance, expert-in-the-loop operations, and managed services to continuously improve performance against validated business outcomes.

  • Which AI models do Outcome Agents use?

    Each agent uses the models best suited to the job. Our AI experts have shipped on Anthropic, OpenAI, Google, Meta, Mistral, Cohere, AWS Bedrock, Azure AI Foundry, Vertex AI, Databricks, Hugging Face, and NVIDIA NIM.

  • Can you work in our cloud and respect our data policies?

    Yes. Agents can run in your cloud environment with your model providers, and we work within your security and data policies.

  • How fast can we get started?

    Agents deploy in 5–8 days.

  • Who maintains the agent after launch?

    The agent’s owner and their delivery team. They run the agent, make changes as your workflow evolves, and measure it against the KPIs agreed with you.