
More than half of all B2B deals have a buyer and seller who aren't on the same page about the problem they're solving. That misalignment kills most deals. And it’s a problem that OptiComm’s bilateral agent model is built to solve.
Every customer account gets a dedicated agent that learns the business deeply enough to know what challenges are impacting them the most. Every rep gets a dedicated agent that turns that understanding into the next right move to build stronger relationships and larger deals.
Working together, the two agents keep buyer and seller solving the same problem, at the same time, for the life of the account.
Close rates are nearly 200% higher when buyers and sellers agree on the problem they’re solving.
Corporate Visions, Emblaze research, 2024

Priorities, needs, and stakeholders change over the life of an account, and the agent keeps up in real time, tracking those shifts as they happen instead of waiting for a rep to notice and log them. Understanding never goes stale the way it does in a CRM record nobody updates.
Tracks both internal signals, order timing, product mix, competitive activity, engagement shifts, and external signals, availability, weather disruptions, recalls, and other outside events that affect an account. Then surfaces intelligence immediately, while there's still time to act.
A new need, a shift in priority, a competitive threat, that intelligence flows straight to the rep's side of the system as it happens, so account knowledge never sits siloed with whichever agent found it first, or buried in a note no one reads until the next call.
Not a generic to-do list, but a ranked view of exactly which accounts need attention first, based on deal risk, deal velocity, and revenue potential. It surfaces the deals quietly slipping in the forecast before they're lost, and keeps healthy deals moving toward close, so pipeline visibility and forecast accuracy aren't something a rep has to piece together by hand at the end of the week.
Order entry, confirmations, and follow-up execute automatically and accurately, so accounts stay current without manual CRM upkeep. That reclaims hours reps typically lose to admin work every week and puts that time back into selling, the one activity that actually moves quota attainment and revenue growth.
As a meeting or call approaches, the agent preps the rep the way a great sales manager would if they had time to do it for every single account. It surfaces what's changed on the account since the last touchpoint, drafts a suggested talk track, and recommends the next best offer. The rep can also ask the agent direct questions in the moment to clarify and deepen understanding.

Lead generating agents research target accounts, find the right contacts, and how best to reach them. Outreach then runs automatically across phone, email, SMS, and WhatsApp, matched to the channel each contact actually responds to. The moment a prospect responds, the agent acts, alerting the rep and scheduling the meeting.
The agent is always watching for signals of upsell opportunities far beyond the obvious transaction data. Pulling from seasonal patterns, product combinations competitors are already selling, shifts in product or brand availability, and new releases from providers; our agents spot natural upsell moments, and take action. Whether that's an add-on, a bundle, or incentive pricing, the agent surfaces the offer while it's still relevant instead of waiting until the next scheduled check-in, when the moment has passed.
This is where the bilateral model does its most important work. The customer's agent is constantly reading churn signals: things like drifting order timing, falling volume, and engagement dropping across channels. The moment something shifts, that signal goes straight to the rep's agent, and from there straight to the rep, in time to act and get the account back on track before it heads out the door.
Every action either agent takes becomes data for the whole system to learn from. When the customer's agent reads a buying signal correctly, or the rep's agent recommends an offer that closes, that outcome feeds back into the superintelligence behind both agents, sharpening not just that one account, but every account like it.

The bilateral agent model is the core of OptiComm’s proprietary sales superintelligence. It features two agents that work synergistically. One focuses on an account and the other on the rep who handles the account. The two agents learn from both sides of every deal continuously, and feed what they learn straight back to each other in real time. That's a proprietary data advantage no single-agent platform or generic AI assistant can replicate.
OptiComm's AI sales agents are built to augment reps, not replace them. Each rep gets a dedicated agent that handles account research, buying-signal detection, and call prep, while the rep owns the relationship and the close. The goal is to free reps from admin work and give them the account intelligence to act faster, not to remove them from the sales process.
Yes. OptiComm's agents surface recommendations, buying signals, and next-best actions, but a rep decides what to act on. The agent doesn't close deals, send binding commitments, or act without a rep in the loop. That human-in-the-loop model matters to both US and Canadian buyers right now: neither country has a comprehensive federal AI law yet, so AI use is currently governed through privacy law, PIPEDA and Quebec's Law 25 in Canada, a growing patchwork of state laws in the US, and procurement teams on both sides of the border are asking vendors directly how much autonomy their agents actually have before signing.
Not every account needs the same coverage model, so the system doesn't apply one.
The assignment isn't static. As an account's potential and complexity shift, the system can move it between coverage models, so attention scales with the account rather than staying fixed at whatever tier it started in.
Yes. OptiComm operates under six independently certified ISO management systems, covering information security, cloud privacy, AI governance, quality, IT operations, and business continuity:
These are issued by an accredited certification body and maintained through annual audits, including risk assessments, access controls, encryption, and monitoring with documented incident response; annual third-party penetration testing and continuous vulnerability management; documented disaster recovery procedures; published subprocessors with advance notice before material changes; and a defined risk classification for every AI agent use case, with human oversight required on high-impact actions.
Yes. OptiComm connects to the CRM, ERP, ecommerce, and data systems you already use, so your team keeps working in familiar tools. Supported platforms include:
Connections run through APIs, webhooks, secure database connections, scheduled data exchanges (CSV, JSON, SFTP), or Model Context Protocol (MCP) servers, whichever fits the system and use case. Where a customer already runs an MCP server, OptiComm's agents can use the tools exposed through it directly; OptiComm can also stand up dedicated MCP servers for approved workflows.
In practice, this lets an OptiComm agent retrieve customer, order, and opportunity data, identify and act on sales opportunities, update records, log calls and outcomes, and return qualified leads and recommendations, all inside the systems you already run, not a separate disconnected app. For Salesforce specifically, no native marketplace application is required; most implementations run through API-based connections, so the integration matches your existing data model rather than forcing a new one.
Access is scoped to each customer's security policies: every agent gets only the data and actions its role requires, with authentication, authorization, logging, and human approval where needed.