Resource Management Agent The agent analyzes your staffing bench, identifies utilization gaps, matches open project needs to available consultants, and flags overcommitment risks before they become client problems. Certinia estimates up to 10 hours per month returned to resource managers. At a 20-person consulting firm, that's one to two days per month your resource manager isn't manually building staffing spreadsheets.

Project Management Agent The agent produces on-demand summaries across financials, staffing, deliverables status, and risk signals — synthesized from your actual project data, not templated reports. Certinia estimates up to 20 hours per month returned to project managers. The use case: instead of three hours preparing for a status meeting, you ask the agent what's worth discussing and get a cited answer in minutes.

Customer Success Agent The agent surfaces renewal risk signals, expansion opportunity flags, and account health summaries based on engagement patterns in your Certinia data. Rather than waiting for a client to go quiet, the agent identifies accounts where engagement patterns suggest renewal risk.

Pricing: $30/user/month add-on. All current and future Veda agents included.

The Data Grounding Advantage

The reason this is worth paying attention to — rather than dismissing as another AI announcement — is the data architecture.

General-purpose AI tools require you to bring the data to the model. You export a project status report, paste it in, ask a question. The quality of the answer depends on the quality of what you pasted.

Veda runs inside Certinia, which means it draws directly from the platform where your operational data already lives: project billing actuals, resource schedules, matter financials, renewal dates, client interaction history. The agent isn't generating a generic answer about "professional services project management" — it's generating a specific answer about your firm's projects, your utilization rate, your at-risk clients.

For the consulting firm owner who has experimented with general AI tools and found them too generic to be useful for operations questions: the grounding is the difference.

Who This Is Actually For

Veda is relevant to firms that:

• Already run Certinia (or are evaluating it) as their core PSA platform
• Carry active project portfolios where resource scheduling, project margin tracking, and renewal management are regular operational overhead
• Have project managers spending 3+ hours per week on status prep, staffing analysis, and client reporting

If your firm runs on a different PSA (Clio for legal, Karbon for accounting, Salesforce plus spreadsheets), Veda isn't an option without a platform migration. The agents only work where the data lives.

If you're already on Certinia, the evaluation question is simple: is the administrative overhead your project managers carry worth more than $360/year per person? For most firms with active project portfolios, the answer is yes.

The ROI Math

At $30/user/month:

• 10 project managers × $30 × 12 months = $3,600/year
• 20 hours saved per PM per month × $150 blended rate × 12 months = $360,000 in recoverable capacity per year (for 10 PMs)
• You need to capture 1% of that capacity as billable work to break even

The break-even math isn't the challenge. The challenge — for most professional services firms — is whether your Certinia data is clean and current enough for the agents to produce useful answers. AI agents that run on stale or inconsistent data produce confident wrong answers, which is worse than no answer.

If your Certinia project data is reasonably current and your team trusts the numbers in the platform, Veda's return on the $30/seat is likely positive in the first month.

What to Do This Week

If your firm already uses Certinia: contact your Certinia account manager or visit the Veda product page directly through Certinia's platform. The $30/seat add-on is available now — pilot it with your project management team on one active client portfolio before committing to a broader rollout.

Before activating: confirm that the project data Veda will draw from is current and accurate. If there are known data quality issues in your Certinia environment, address those first. A week of data cleanup before activating Veda is better than six months of agents answering questions based on incorrect project financials.

If your firm doesn't use Certinia: Veda isn't an immediate option, but it's worth tracking. The trend it represents — AI agents grounded in operational data rather than generic prompting — is where all professional services platforms are heading. When evaluating PSA tools in 2026, ask vendors whether their AI agents run on your data or theirs.

(Source: CPA Practice Advisor, April 15, 2026; BusinessWire, April 15, 2026; Constellation Research)