Represent the algebra in some Hilbert space and let $P$ be positive. I will use the following statements:
- For every $\epsilon$ there exists a norm $1$ vector $x$ so that $\langle x,Px\rangle ≥\|P\|-\epsilon$.
- For any $x$ of norm $1$ you have $0≤\langle x,Px\rangle≤\|P\|$.
Now consider $A,B$ positive and let $x$ be a unit vector so that $\langle x,Ax\rangle≥\|A\|-\epsilon$. It follows that
$$\|A+B\|≥\langle x,(A+B)x\rangle ≥\|A\|+\langle x,Bx\rangle -\epsilon≥\|A\|-\epsilon$$
Since this can be done for any $\epsilon$ you have $\|A+B\|≥\|A\|$.
Now let $\|\sum_i x_i\|≤\lambda$, $x_i$ positive elements. It follows $\sum_{j\neq i}x_i$ is positive and $\|\sum_i x_i\|=\|x_i+\sum_{j\neq i}x_j\|≥\|x_i\|$ from the previous consideration. So $\|x_i\|≤\lambda$.
Proof of the statements used:
- Since $P$ is positive $\sqrt{P}$ exists and is positive. There exists norm $1$ $x$ so that $\|\sqrt{P} x\|^2≥\|\sqrt{P}\|^2-\epsilon$ for any $\epsilon$. This equation is however:
$$\langle \sqrt P x, \sqrt P x\rangle =\langle x, Px\rangle ≥\|\sqrt{P}\|^2-\epsilon=\|P\|-\epsilon$$
- This is clear.